field_remote_option

job_industry

field_job_occupational_field_parents_all

job_organization_name

job_upgrade_is_featured

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position Summary We are seeking a highly skilled and motivated AI Project Manager to join our team. This role is pivotal in managing the delivery of AI projects, working closely with matrixed business SMEs and technical teams. The ideal candidate will have a strong background in project management, AI, data management, and business testing, with the ability to oversee project timelines, budgets, and deliverables effectively. Additionally, this role will be key in helping business partners identify the art of the possible when it comes to AI.Key Responsibilities include:Manage the Delivery of AI Projects:<ul> <li>Collaborate with matrixed business SMEs and technical teams to ensure successful delivery of AI projects</li> <li>Define project scope, objectives, and deliverables in alignment with business goals</li> <li>Develop detailed project plans, including timelines, budgets, and resource allocation</li> <li>Identify and manage project risks, issues, and dependencies</li> <li>Oversee business testing to ensure the effectiveness and accuracy of AI solutions</li> <li>Act as a liaison with the DDAT team to ensure alignment and integration</li> <li>Monitor and evaluate the effectiveness of data management strategies and make necessary adjustments</li> </ul>Identify the Art of the Possible:<ul> <li>Work closely with business partners to explore and identify innovative AI opportunities</li> <li>Provide insights and recommendations on how AI can be leveraged to achieve business objectives</li> <li>Facilitate workshops and brainstorming sessions to generate AI use case ideas</li> <li>Stay updated on the latest AI trends and technologies to inform business partners of new possibilities</li> </ul> Required Qualifications<ul> <li>7+ years of experience in project management, data management, and business testing</li> <li>Understanding of AI persona development and implementation</li> <li>Solid understanding of AI technologies and their applications in business</li> <li>Excellent project management skills with the ability to manage multiple priorities</li> <li>Strong analytical and problem-solving skills</li> <li>Excellent communication and collaboration skills</li> <li>Ability to work effectively in a matrixed environment</li> <li>Experience with project management tools and methodologies</li> </ul> Preferred Qualifications<ul> <li>Experience with data management tools and technologies</li> <li>Knowledge of change management principles and practices</li> <li>Familiarity with DDAT frameworks and methodologies</li> </ul> Education<ul><li>Bachelor’s degree in Computer Science, Data Science, Business Administration, or a related field</li></ul>Pay RangeThe typical pay range for this role is:$67,900.00 - $182,549.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul> <li>Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li> <li>No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li> <li>Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li> </ul>For more information, visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">https://jobs.cvshealth.com/us/en/benefits</a>We anticipate the application window for this opening will close on: 05/10/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVSHealth

Senior Manager,  AI Project Management

Senior Manager, Software Engineering, Full Stack - Capital One Software (Remote)Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Manager, Software Engineering, Full Stack, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.What You’ll Do: <ul> <li>Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li> <li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code</li> <li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li> <li>Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services </li> </ul>Basic Qualifications: <ul> <li>Bachelor’s Degree</li> <li>At least 6 years of experience in software engineering (Internship experience does not apply)</li> <li>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li> <li>At least 4 years of people management experience</li> </ul>Preferred Qualifications: <ul> <li>Master’s Degree</li> <li>9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go</li> <li>3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service</li> <li>4+ years of experience in open source frameworks</li> <li>7+ years of people management experience</li> <li>2+ years of experience in Agile practices</li> </ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Software Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="#">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="#">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Capital One

Senior Manager, Software Engineering, Full Stack - Capital One Software (Remote)

About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Summary We are looking for a highly experienced Staff Engineer with deep expertise in the software industry with emphasis on application development using Gen AI and Machine Learning. In this role, you will drive the architectural vision for our AI enterprise platform, ensuring we build scalable, reliable, and high-performance systems leveraging LLMs, Machine learning and agentic AI framework. You’ll partner with leadership, product, and engineering teams to shape the technical roadmap, mentor engineers, and solve complex problems that scale our AI systems to support rapid growth. As a Staff Engineer, you will set technical direction, lead critical initiatives, and be a key decision-maker on AI strategies, ensuring our platform stays at the forefront of innovation and security. <h3>Essential Job Duties and Responsibilities</h3> <ul> <li>Lead the design and development of large-scale, mission-critical AI enterprise agentic platform that integrates with other Goodleap systems and services.</li> <li>Architect highly scalable, resilient, and secure systems that can handle large volumes and traffic.</li> <li>Provide technical leadership across teams, guiding decisions on architecture, design patterns, and best practices.</li> <li>Collaborate with product and engineering leaders to align technical solutions with business objectives.</li> <li>Drive cross-functional projects to enhance the integration, reliability and performance of our AI enterprise platform.</li> <li>Ensure compliance with industry regulations, including legal standards.</li> <li>Mentor senior and mid-level engineers, fostering a culture of growth, learning, and technical excellence.</li> <li>Evaluate and implement new emerging technologies and tools to continuously improve our systems and development processes.</li> <li>Contribute to key architectural decisions, including the design of microservices and the adoption of new AI technologies including LLMs, Voice, Image etc.</li> </ul><h3>Required Skills, Knowledge, and Abilities</h3> <ul> <li>8+ years of experience in software engineering, with a strong background in building enterprise platforms at scale with expertise in AI/ML.</li> <li>Experience in designing and deploying real-time LLM systems at scale.</li> <li>Experience in evaluating, monitoring, and iterating on LLM solutions.</li> <li>Experience in ML packages and tools, Tensorflow / PyTorch, Sagemaker, MLFlow, OpenAI API</li> <li>Expertise in Node, TypeScript, and Python. Knowledge of .NET is good to have</li> <li>Strong expertise in designing systems for high availability, fault tolerance, and scalability.</li> <li>Experience in cloud infrastructure (AWS) with a focus on performance, security, and monitoring.</li> <li>Expertise in distributed systems architecture, microservices, and RESTful APIs.</li> <li>Ability to influence technical direction and work cross-functionally with product, engineering, and executive teams.</li> <li>Strong leadership skills, with a proven ability to mentor and lead engineering teams.</li> <li>Strong analytical and problem-solving skills, with an ability to thrive in a fast-paced, dynamic environment.</li> Bonus Points (optional section) <li>Experience with integration of AI/ML solutions with Salesforce &amp; Genesys</li> <li>Experience in building multi-agent solutions and reinforcement learning</li> <li>Experience in FinTech or other highly regulated industries.</li> <li>Strong track record of managing complex technical debt and driving long-term architectural strategy.</li> </ul>Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!

GoodLeap LLC

Staff Software Engineer, AI

About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Summary Senior Machine Learning Engineer will work closely with engineering tech leads to deploy LLM models into production, build scalable ML infrastructure, and optimize ML workflows. This role will play a crucial role in defining and scaling ML/AI applications in production, ensuring efficiency, reliability, and automation across model development, training, and evaluation. <h3>Essential Job Duties and Responsibilities</h3> <ul> <li>Collaborate with engineering tech leads to integrate LLM models into production systems.</li> <li>Identify and solve engineering pain points by building scalable, general-use ML platforms.</li> <li>Design and develop scalable infrastructure and pipelines for data/feature processing, model training, and evaluation.</li> <li>Automate ML workflows to improve productivity across training, evaluation, testing, and results generation.</li> <li>Partner with cross-functional teams to define the long-term vision for ML/AI applications and contribute to roadmap planning.</li> <li>Implement ML Ops best practices, ensuring efficient model deployment, monitoring, and versioning.</li> <li>Optimize and manage distributed processing architectures using Spark, Databricks, Airflow, Kubeflow, MLflow, etc.</li> <li>Develop microservices-based architectures for ML applications, including RESTful APIs for model serving.</li> <li>Ensure compliance with scalability, reliability, and security standards in ML production systems.</li> </ul><h3>Required Skills, Knowledge, and Abilities</h3> <ul> <li>Master’s degree in computer science, Machine Learning, or a related field with 5+ years of experience as an ML Engineer or ML Scientist in an industry setting.</li> <li>Strong programming skills in Java, Python, and SQL/MySQL.</li> <li>Hands-on experience in ML Ops, including large-scale ML applications, services, pipelines, and architectures.</li> <li>Solid understanding of system design for ML systems, including design patterns, OOD (Object-Oriented Design), and interface design.</li> <li>Experience with distributed processing architectures and ML/data workflow management platforms (e.g., Spark, Databricks, Airflow, Kubeflow, MLflow).</li> <li>Experience with containerization and orchestration tools like Docker and Kubernetes</li> Preferred Qualifications <li>Ph.D. in Computer Science, Machine Learning, or a related field, or 3+ years of ML Engineering experience in addition to a Master’s degree.</li> <li>Strong theoretical and practical understanding of machine learning models and frameworks (Scikit-Learn, TensorFlow, PyTorch, etc.).</li> <li>Experience working with cloud-based solutions, especially AWS and Databricks.</li> <li>Experience with CI/CD pipelines, automated testing, and test-driven development for ML applications.</li> <li>Knowledge of microservice architectures and best practices for RESTful web services.</li> </ul>Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!

Senior Machine Learning Engineer

Current Saint Francis Employees - Please click <a href="http://www.myworkday.com/saintfrancis/d/task/3005$4482.htmld" target="_blank">HERE</a> to login and apply. Full TimeDaysSchedule: Must be available to work full-time; Sunday - Thursday or Tuesday - Saturday.Job Summary: The Coder III Specialist codes ER, Outpatient, Outpatient Surgeries, Observations and Inpatient records. Minimum Education: High School Diploma or GED. Licensure, Registration and/or Certification: Certified Coding Specialist (CCS) by AHIMA. Work Experience: Minimum of 3 years related experience and a score of 80% or above on the outpatient and inpatient coding exam. Knowledge, Skills and Abilities: Demonstrated knowledge of Basic ICD 10 training and anatomy and physiology. Demonstrated PC and Software proficiency. Must be able to score 80% or above on the outpatient and inpatient coding exam. Essential Functions and Responsibilities: Codes ER's, outpatients, outpatients surgeries, observations and inpatients. Works CCI/medical necessity edits as needed. Monitors unbilled for all patient types coded on a day-to-day basis. Maintains quality equal to or greater than 95%. Maintains productivity equal to or greater than 95%. Completes continuing education as required. Decision Making: Independent judgment in planning sequence of operations and making minor decisions in a complex technical or professional field. Working Relationships: Works with internal customers via telephone or face to face interaction. Works with external customers via telephone or face to face interaction. Works with other healthcare professionals and staff. Special Job Dimensions: None.Supplemental Information: This document generally describes the essential functions of the job and the physical demands required to perform the job. This compilation of essential functions and physical demands is not all inclusive nor does it prohibit the assignment of additional duties.Health Information Clinical Coding - Yale CampusLocation:Virtual Office, Oklahoma 73105EOE Protected Veterans/Disability

15 Software Engineering Jobs in McLean, VA, USA