AI/ ML Data Engineering Technical Manager

Join GDIT where your work will improve outcomes for our Veterans. You will support the Department of Veterans Affairs (VA) with a Veteran first vision to transform the Veterans Benefits Administration (VBA) with greater visibility into claims processing. Together, we’re building a future of fast, transparent claims, empowered teams, and striving for a zero backlog, directly supporting Veterans and making a real impact on the lives of those who served. This high-impact solution accelerates the delivery of benefits to Veterans and their families.

As a AI/ML Engineering Technical Manager, you will be expected to lead the AI and Agentic AI solutions. 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 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, with ~6 direct reports, of Data Scientists, Machine Learning Engineers, and Analysts to design, build, and deploy AI/ML solutions, including Agentic AI capabilities, supporting the 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 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
• 5+ 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
• Current or previous people management/ direct reports
• 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

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