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<h3> Position Summary </h3> Position Summary As a Sr. GenAI Engineer, you will actively engage in your engineering 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 GenAI &amp; engineering craftsmanship and advanced proficiency across multiple programming languages 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 be a dependable team player and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. <ul> <li>Understanding and experience in managing big data of various forms to generate insights and create intelligence.</li> <li>Understanding of methodologies &amp; tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.</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 Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP.</li> <li>Prior experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL.</li> <li>Prior experience with experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.</li> <li>Prior experience and familiarity with XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube.</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 $102,500 to $ 210,600. 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 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. 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

Manager, GenAI Engineering

<h1> Principal Data Analytics Engineer, USRM Modeling Data Solutions</h1> Job Locations US-Remote | US-OH-Columbus | US-WA-Seattle | US-MA-Boston <dl> <dt>ID</dt> <dd> 2025-68772 </dd> <dt>Position Type</dt> <dd> Full-Time </dd> <dt>Minimum Salary</dt> <dd> USD $92,000.00/Yr. </dd> <dt>Maximum Salary</dt> <dd> USD $197,000.00/Yr. </dd> <dt>Typical Starting Salary</dt> <dd> $108,000-$156,000 </dd> <dt>Flexible Time Off Annual Accrual - days</dt> <dd> 20 </dd> <dt>Application Deadline</dt> <dd> 3/7/25 </dd> </dl> <h2> Pay Philosophy </h2> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. <h2> Description </h2> If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data Solutions is seeking experienced data analytics engineers to join its small commercial and personal lines teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions. **This is a ranged posting, level offered will be based on skills and experience at manager discretion.** **This role may have in-office requirements depending on candidate location.** Responsibilities <ul> <li>Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization’s analytical needs.</li> <li>Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders.</li> <li>Gather requirements through collaboration with data scientists, analysts, and business stakeholders to provide tailored analytics solutions.</li> <li>Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security.</li> <li>Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting.</li> <li>Utilize Python, Spark, and SQL queries to build robust data solutions and for profiling data.</li> <li>Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team’s capabilities.</li> <li>Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration.</li> </ul> <h2> Qualifications </h2> <ul> <li>Strong written and oral communication skills required.</li> <li>Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred</li> <li>Master`s in same or related disciplines strongly preferred.</li> <li>5-7+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake.</li> <li>5-7+ years experience as developer with top quadrant Business Intelligence tools.</li> </ul> <h2> About Us </h2> As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: <a href="https://LMI.co/Benefits" target="_blank">https://LMI.co/Benefits</a> Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices <ul> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-fair-chance-act.pdf" target="_blank">California</a></li> <li><a href="https://bca.lacity.gov/Uploads/fciho/FCIHO-factsheet-2024-03-05.pdf" target="_blank">Los Angeles Incorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2025/01/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf" target="_blank">Los Angeles Unincorporated</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/pa-philadelphia-fair-chance-law.pdf" target="_blank">Philadelphia</a></li> <li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-san-francisco-fair-chance.pdf" target="_blank">San Francisco</a></li> </ul> <h2>Options</h2> <a href="https://careers-libertymutual.icims.com/jobs/68772/principal-data-analytics-engineer%2c-usrm-modeling-data-solutions/job?mode=apply&amp;apply=yes&amp;hashed=-1834448064" target="_blank"> Apply NowApply </a><a href="https://careers-libertymutual.icims.com/jobs/68772/principal-data-analytics-engineer%2c-usrm-modeling-data-solutions/referral?hashed=-625979090" target="_blank"> Email this job to a friendRefer </a> Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. <h2> Need help finding the right job? </h2> We can recommend jobs specifically for you! <a href="https://careers-libertymutual.icims.com/connect?back=intro&amp;findajob=1&amp;hashed=-625979090" target="_blank"> Click here to get started. </a> <a href="https://icims.help/candidate-faq" target="_blank">System Troubleshooting</a>Software Powered by iCIMS <a href="http://www.icims.com/platform_help?utm_source=platform&amp;utm_medium=link&amp;utm_content=page1&amp;utm_campaign=platform%20help" target="_blank">www.icims.com</a>

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