AI/ ML Data Engineering Manager/ Technical Lead
USA VA Home Office (VAHOME), United States
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
General Dynamics Information Technology
Delivering technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community.Type of Requisition:
RegularClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
MBI (T2)Job Family:
Data ScienceJob Qualifications:
Skills:
AI Architecture, AI Programming, Artificial Intelligence (AI), DevSecOps, Generative AICertifications:
NoneExperience:
10 + years of related experienceUS Citizenship Required:
NoJob Description:
Join GDIT and be part of the Unified Claims Acceleration Platform (UCAP) solution, where your work accelerates claims processing for the Department of Veterans Affairs (VA), our Veteran-first vision to transform the Veterans Benefits Administration (VBA) into a paperless, AI-enabled organization. Together, we’re building a future of fast, transparent claims, empowered teams, and a zero backlog, directly supporting Veterans and making a real impact on the lives of those who served.
As a AI/ML Engineering Manager / Technical Lead, you will be expected to lead the AI and Agentic AI solution for UCAP. This will involve defining data design patterns for building and maturing large language models (LLMs). You will work closely with Business Analysts and Solution Architect to investigate, implement, and calibrate our UCAP AI solutions to achieve the desired VBA outcomes. You will support the establishment of AI performance baselines for generating clinical summaries to improve accuracy and will require continuous reviews with VBA stakeholders.
Work visa sponsorship will not be provided for this position.
Responsibilities will include, but are not limited to:
- Lead a team of Data Scientists, Machine Learning Engineers, and Analysts to design, build, and deploy AI/ML solutions, including Agentic AI capabilities, supporting UCAP’s mission-critical workflows.
- Oversee the end-to-end development and operationalization of machine learning models, including data preprocessing, feature engineering, training, validation, deployment, and monitoring.
- Apply advanced machine learning techniques and tools to evaluate model performance, interpret results, and deliver actionable insights that drive business outcomes.
- Assess and validate the effectiveness, accuracy, and quality of new data sources, data gathering methods, and model inputs to ensure robust and reliable outputs.
- Develop data-driven strategies and solutions for complex business and operational challenges in a mission-focused environment.
- Collaborate closely with multiple Scrum teams to integrate AI and GenAI workflows into UCAP functionality, ensuring seamless alignment with product goals and user needs.
- Review test results, model outputs, and workflow performance to verify compliance with VBA objectives and program requirements.
- Leverage professional judgment, critical thinking, and research expertise to continuously improve AI/ML processes, resolve technical and operational issues, and enhance overall program performance.
Required Qualifications:
- Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related technical discipline; Master’s Degree preferred
- 10+ years of professional experience in data science, machine learning engineering, or AI solution development
- Minimum 5 years of experience applying machine learning and statistical analysis, including predictive analytics, supervised and unsupervised learning, and model validation
- 4+ years of experience supporting or developing production-grade data pipelines and machine learning models
- 2+ years leading technical teams (Data Scientists, ML Engineers, or Software Engineers) in the design, development, and deployment of AI/ML solutions
- Proficiency in programming languages such as Python, R, Java, or Scala, with practical experience implementing machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience with Agile and Lean principles and methodologies for iterative development and deployment
- Must be able to obtain a Position of Trust and successfully pass a government background investigation, including fingerprinting and detailed forms submission
Desired Qualifications:
- Strong knowledge of AI and Agentic AI
Attributes for Success:
- Must demonstrate critical thinking skills to resolve operational issues and identify risks and mitigation
- Must have outstanding written and verbal communication skills with the ability to present business leaders
#GDITFedHealthJobs
The likely salary range for this position is $146,200 - $197,800. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Scheduled Weekly Hours:
40Travel Required:
NoneTelecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events atEqual Opportunity Employer / Individuals with Disabilities / Protected VeteransTags: Agile Architecture Computer Science Consulting Data pipelines Engineering Feature engineering Generative AI Java LLMs Machine Learning ML models Pipelines Python PyTorch R Research Scala Scikit-learn Scrum Statistics TensorFlow Unsupervised Learning
Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance Medical leave Parental leave Team events
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.