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<h3> Position Summary </h3> The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world’s greatest personalized and business friendly applications. Recently building AI capabilities in all of our existing assets and building new AI enabled assets. The AI Solution Architect in Deloitte’s Human Capital Consulting HC Forward/Asset Development will be tasked with leading the design, architecture, and implementation of innovative Data products and AI solutions aimed at enhancing the Human Capital Offering Portfolio. This role is pivotal in leveraging Data and AI technologies, requiring a deep understanding of Data Science, Statistics, Machine Learning, Generative AI, Large Language Models (LLMs), and Multimodal models. The AI Architect will provide real-time Human Capital insights and develop technology solutions that drive and sustain organizational performance and engagement. Additionally, the AI Solution Architect will oversee the architecture for AI solution teams, focusing on modifying existing products and creating new ones. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and architectures and to continuously improve the AI/ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps. The AI Solution Architect will also be responsible for translating project requirements into strategic architecture solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions, making it a strategically crucial position. Recruiting for this role ends on 12/31/24. Work you’ll do: Strategic Alignment and Vision <ul> <li>Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts</li> <li>Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases</li> </ul> Architectural Design and Technology Selection <ul> <li>Key contributor in architecting a comprehensive AI Engineering framework that supports the deployment, evaluation, and management of ML models &amp; GenAI solutions</li> <li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools</li> <li>Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models</li> </ul> Collaboration and Stakeholder Engagement <ul> <li>Collaborate with Enterprise, Application, Data &amp; DevOps Architects, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss architectural design</li> <li>Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements</li> <li>Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies</li> </ul> Operational Excellence and Continuous Improvement <ul> <li>Be responsible for the successful execution of AI-powered applications using agile methodology</li> <li>Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms</li> <li>Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements</li> </ul> Risk Management and Ethical Considerations <ul> <li>Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations</li> <li>Address potential issues such as training data poisoning, AI model theft, and adversarial samples</li> </ul> Product Strategy and Business Understanding <ul> <li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products</li> <li>Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches</li> </ul> Research and Development <ul><li>Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost</li></ul> Tool Development and Data Management <ul> <li>Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization</li> <li>Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure</li> </ul> Required Qualifications: <ul> <li>Bachelor's Degree in any of Computer Science, Engineering, Statistics, Data Science or a related field.</li> <li>8+ years of experience leading a technical team (both onshore and offshore).</li> <li>8+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments</li> <li>2+ years of experience building GenAI environments</li> <li>8+ years of experience translating requirements into client ready design documents</li> <li>8+ years of experience with application architecture analysis, design, and delivery</li> <li>8+ years of full system development life cycle implementations</li> <li>Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve</li> <li>Limited immigration sponsorship may be available</li> </ul> Preferred Qualifications: <ul> <li>Advanced degrees such as Masters is preferred</li> <li>Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect</li> <li>8+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pleasanton, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $167,325 to $278,875. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC24 #HCaaS24 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

Deloitte

AI Solution Architect

<h3> Position Summary </h3> As a Sr. Quality Engineer specializing in artificial intelligence (AI) and Machine Learning (ML) technologies, you will actively engage in your AI/ML craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users while also driving tangible value for Deloitte's business investments. You will leverage your extensive AI/ML engineering craftsmanship and advanced proficiency across multiple quality assurance disciplines and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. Recruiting for this role ends on 4.1.25 Work you’ll do <ul> <li> Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.</li> <li> Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support.</li> <li> Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.</li> <li> Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.</li> <li> Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.</li> <li> Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.</li> <li> Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning.</li> <li> Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.</li> <li> Effective Communication and Influence: Capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.</li> <li> Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.</li> </ul> The successful candidate will have and/or be able to: The ideal candidate will have a strong background in quality assurance, test automation, and a deep understanding of how AI/ML can modernize the quality engineering processes. This role will be pivotal in enhancing our testing frameworks and ensuring the highest quality standards for our products. <ul><li>Understanding of methodologies and tools like, XP, Lean, SAFe, DevSecOps, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.</li></ul> <ul> <li>Understanding and extensive experience in working with various forms of big data to generate synthetic data for testing purposes.</li> <li>Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.</li> </ul> The Team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications Required: <ul> <li>Bachelor's degree in computer science, software engineering, or related field.</li> <li>6+ years of engineering experience focused in AI/ML</li> <li>2+ years of recent experience in GenAI utilizing technologies such as: OpenAI, Claude, Gemini, LangChain, Agents, Vector databases and approaches like Prompt Engineering, fine-tuning, etc.</li> <li>Limited immigration sponsorship may be available</li> </ul> Preferred: <ul> <li>8+ years of engineering experience focused in AI/ML</li> <li>Prior experience in quality assurance and automation-first techniques such as BDD, as well as test automation tools like, TOSCA, Selenium, Gherkin, Functionize, Testim, and AccelQ.</li> <li>Prior experience in Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.</li> <li>Prior experience in working with various forms of big data to generate synthetic data for testing purposes.</li> <li>Prior experience with cloud hyper-scalers like Azure, AWS, and GCP.</li> <li>Advanced degree (e.g., MS) in computer science, software engineering, or related field.</li> </ul> The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $191,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: Hyperlink: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> EA_ITS_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

Technology | Sr. Quality Engineer

CompanyCox Communications, Inc.Job Family GroupEngineering / Product DevelopmentJob ProfileLead Product ManagerManagement LevelManager - Non People Leader Flexible Work Option Hybrid - Ability to work remotely part of the weekTravel %Yes, 5% of the timeWork ShiftDayCompensationCompensation includes a base salary of $108,800.00 - $181,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Job Description ** Overview: ** We are seeking an experienced AI Product and Value Realization Manager to support planning, implementation and measurement of AI solutions. The successful candidate will have a strong background in AI/ML, business operations, and data analysis, as well as excellent communication and collaboration skills. ** Scope: ** As an AI Product and Value Realization Manager, this role will be responsible for ensuring that AI and ML solutions deliver tangible business value to the organization. The scope of this role includes: <ul><li>Collaborating with cross-functional teams to identify opportunities to drive business value through AI and ML solutions </li></ul> <ul><li>Developing and implementing strategies to measure and track the value of AI and ML solutions, including key performance indicators (KPIs) and metrics </li></ul> <ul><li>Conducting cost-benefit analyses and ROI calculations to inform funding decisions and ensure that AI and ML solutions are delivering expected business value </li></ul> <ul><li>Working with stakeholders to develop and prioritize use cases for AI and ML solutions, and ensuring that these solutions are aligned with business goals and objectives </li></ul> <ul><li>Developing and maintaining a comprehensive understanding of the organization's AI and ML landscape, including existing solutions, emerging trends, and potential areas for growth </li></ul> <ul><li>Identifying and mitigating risks associated with AI and ML solutions that may impact value delivered </li></ul> This Manager will be expected to stay up-to-date on emerging trends and best practices in AI and ML technologies, and to apply this knowledge to drive business value for the organization. Due to the dynamic nature of this space with rapidly evolving technologies and strategies, they may at times flex to adjacent responsibilities including platform SME, product owner, prompt engineer, or more. ** Key Responsibilities: ** <ul><li>Plan, implement and measure AI solutions that drive business value using AI and ML technologies </li></ul> <ul><li>Identify potential costs and benefits associated with AI and ML implementations </li></ul> <ul><li>Develop business cases for AI solutions, including cost, value and ROI </li></ul> <ul><li>Develop and track key performance indicators (KPIs) to measure business value and solution effectiveness </li></ul> <ul><li>Conduct data analysis to measure AI solution performance and value realization </li></ul> <ul><li>Identify opportunities to improve AI and ML implementation, optimizing value delivered </li></ul> <ul><li>Manage AI project budgets and resources, ensuring timely and within-budget delivery </li></ul> ** Qualifications: ** <ul><li>Bachelor’s degree in a related discipline and 6 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 4 years’ experience; a Ph.D. and 1 year of experience; or 18 years’ experience in a related field.</li></ul> <ul><li>Experience with AI and ML concepts, technologies, and applications </li></ul> <ul><li>Experience with Agile development methodology</li></ul> <ul><li>Data analysis skills, including data visualization, statistical modeling, and data mining </li></ul> <ul><li>Financial analysis skills, including ROI calculation, cost-benefit analysis, and total cost of ownership (TCO) </li></ul> <ul><li>Experience in supporting organizations through strategic change </li></ul> ** Competencies: ** <ul><li>Data-driven with ability to use data to make and measure decisions </li></ul> <ul><li>Strong organizational and planning skills </li></ul> <ul><li>Strategic thinking and focus on the future </li></ul> <ul><li>Flexible approach and flow-to-work mindset </li></ul> <ul><li>Problem-solving and decision-making </li></ul> <ul><li>Collaborative mindset with strong interpersonal and communications skills </li></ul> BenefitsThe Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. About Us Cox Communications is all about creating moments of real human connection; and for employees, that’s true both in the workplace and in the problems we solve for customers. From building advertising solutions to unleashing IoT technologies to creating an exceptional experience for customers in our retail locations and online, we’re creating a world that is smarter and more connected. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.

Cox Automotive Inc.

Lead, AI Product Management & Value Realization

<h3> Position Summary </h3> The Human Capital Offering Portfolio focuses on helping organizations manage and improve their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our team is full of passionate, energetic, and multi-talented engineers who are excited about building the world’s greatest personalized and business friendly applications. This role is central to Deloitte’s Human Capital Team, and will spearhead, plan, coordinate, and deliver a variety of Generative AI projects. You will be responsible for leading one or more complex Generative AI projects, including project timeline, scope prioritization, cost, dependencies, and performance risks. This person must be an expert in communication, technology project management, understanding the overall product roadmap, technology stack, application suite, business processes and any downstream system and business impacts. They will collaborate with internal and vendor peers, executives, and line of business partners to ensure the success of projects. Recruiting for this role ends on 5/31/25 Join this team: We’re seeking a highly motivated and experienced Project Manager (PM)/Scrum Master (SM) /Senior Consultant with AI experience. This person will help build Human Capital solutions used by the biggest and most influential businesses around the world. Responsibilities: * Collaborate / Align technical and non-technical team members to translate customer needs into world-class solutions * Play a key role in bridging technical and business aspects of AI projects, ensuring that the scopes are feasible, aligned with technical capabilities' roadmap, market maturity, and targeted towards tangible business values * Lead / Coach teams new to Agile / Scrum methodologies * Collaborate with the business to prioritize and define Epics and User Stories * Document User Stories and Acceptance criteria in Jira * Identify / Manage / Mitigate risks to prevent issues * Align / Ensure end-to-end solution success and readiness * Work collaboratively to guide new teams thru the forming, storming, and norming phases * Provide / Accept continuous feedback in the spirit of continuous improvement * Ensure Scrum ceremonies are collaborative, occur on time, and adhere to "best practice" * Promote a healthy and sustainable work environment by using teams’ average velocity to properly size Sprints * Coordinate cross functionally to remove blockers and manage dependencies * Continuously drive execution and accountability * Monitor / Communicate solution status * Determine what’s important and make solution decisions in the absence of clear guidelines or Product Owner participation * When needed, do "whatever it takes" to ensure success * Coach junior PMs / SMs / BAs Required Qualifications: * Bachelor's degree * GenAI/Machine Learning certification * Scrum Master Certification * PMP or other accredited Project Management certifications * 4+ years of experience in Agile/Scrum * 4+ years of JIRA/Confluence experience * 4+ years of familiarity with cloud technologies (AWS, GCP, Azure) * 1+ years of experience leading cross-functional teams to identify, scope, and build GenAI/Machine Learning solutions * 1+ years of experience with Large Language Models (LLM) * 2+ years coaching junior level team members * 2+ years of experience with financial/budget management and complex cost-benefit analysis * 2+ years of experience prioritizing/managing a Portfolio of related projects * Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve. * Limited immigration sponsorship may be available Preferred Qualifications: * Bachelor’s degree in Computer Science or Engineering * Excellent verbal/written communication skills * Understanding of AI product management methodologies * Agile Certifications (CSM; ACP; CSPO; SAFe; LeSS) * Excellent organizational skills * Attention to detail and follow up * Past development experience * DevOps awareness * Experience with HRM Systems - SAP, Oracle, SuccessFactors, Workday Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pleasanton, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,325 to $188,875. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC25 #HCaaS25 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

GenAI/Machine Learning Technical Project Manager

<h3> Position Summary </h3> The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world’s greatest personalized and business friendly applications. Recently building AI capabilities in all of our existing assets and building new AI enabled assets. Human Capital As-A-Service Today’s disruptive environment calls for a different mindset and a new approach to drive organizational performance and enhance human capital development now and in the future. Deloitte Human Capital as a Service brings that insight, through broad and deep capabilities to help our clients optimize people, process, and technology to thrive in an unpredictable world. Recruiting for this role ends on 12/31/2024. The AI Data Specialist in Deloitte’s Human Capital Consulting Asset Shop will lead the design, development, and deployment of innovative AI solutions to help clients leverage the power of artificial intelligence across their business processes. You will work closely with cross-functional teams including data scientists, engineers, and business consultants to design scalable AI architectures and integrate advanced machine learning models into business strategies. Your role is crucial in driving the adoption of AI technologies to transform client business models and deliver cutting-edge solutions. This role requires a deep understanding of Machine Learning, Statistics, Data Science, Generative AI, Large Language Models (LLMs), and Multimodal models. Additionally, the AI Data Specialist will help with recommendations for AI solution teams, focusing on modifying existing products and creating new ones. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and to continuously improve the AI/ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps. The AI Data Specialist will also help with translating project requirements into strategic solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions. Work you’ll do: Strategic Alignment and Vision <ul> <li>Help define the AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts.</li> <li>Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases</li> </ul> Architectural Design <ul><li>Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems.</li></ul> Design and Technology Selection <ul> <li>Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.</li> <li>Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.</li> </ul> Research and Development <ul> <li>Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost.</li> <li>Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions.</li> </ul> Collaboration and Stakeholder Engagement <ul> <li>Collaborate with Enterprise, Application, Data &amp; DevOps teams, Data scientists, Machine Learning &amp; GenAI Engineers, and Business teams to pilot use cases and discuss best design.</li> <li>Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.</li> </ul> Consulting &amp; Advisory <ul><li>Serve as a technical advisor to leadership, providing insights on AI trends, potential business impacts, and implementation best practices.</li></ul> Operational Excellence and Continuous Improvement <ul> <li>Be responsible for the successful execution of AI-powered applications using agile methodology.</li> <li>Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms.</li> <li>Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements.</li> </ul> Risk Management and Ethical Considerations <ul> <li>Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.</li> <li>Address potential issues such as training data poisoning, AI model theft, and adversarial samples.</li> </ul> Product Strategy and Business Understanding <ul> <li>Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.</li> <li>Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches.</li> </ul> Tool Development and Data Management <ul> <li>Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization.</li> <li>Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.</li> </ul> Required Qualifications: <ul> <li>Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field.</li> <li>6+ years of related consulting experience leading a team (both onshore and offshore).</li> <li>6+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments.</li> <li>5+ years of experience working in an AI environment.</li> <li>5+ years of experience translating requirements into client ready design documents.</li> <li>5+ years of experience with application architecture analysis, design, and delivery</li> <li>5+ years of full system development life cycle implementations</li> <li>Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.</li> <li>Limited immigration sponsorship may be available.</li> </ul> Preferred Qualifications: <ul> <li>Advanced degrees such as Masters or PhD are preferred</li> <li>Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect</li> <li>5 + years of experience in Data Science, Statistics, and Machine Learning</li> <li>5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing</li> <li>5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment</li> <li>5+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.</li> </ul> Information for applicants with a need for accommodation: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</a> Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Indianapolis, Jacksonville, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, Rosslyn, Sacramento, Salt Lake City, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe, Tulsa, Washington DC The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $159,375 to $265,625 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. For more information about Human Capital, visit our landing page at: <a href="https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html" target="_blank">https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html</a> #HC25 #HCaaS25 Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. <a href="https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html" target="_blank">Check out recruiting tips from Deloitte recruiters.</a> Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. <a href="https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html" target="_blank">Learn more about what working at Deloitte can mean for you.</a> Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-inclusion.html" target="_blank">Learn more about our inclusive culture.</a> Our purpose Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. <a href="https://www2.deloitte.com/us/en/pages/about-deloitte/articles/purpose-at-deloitte-us.html" target="_blank">Learn more about Deloitte's purpose, commitments, and impact.</a> Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

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