About the Role
Job Description:
Type of Requisition:
Regular
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able To Obtain:
None
Public Trust/Other Required:
BI Full 6C (T4)
Job Family:
Data Science and Data Engineering
Skills:
Job Qualifications:
Artificial Intelligence (AI), Data Science, Machine Learning (ML)
Certifications:
None
Experience:
10 + years of related experience
US Citizenship Required:
No
Job Description:
Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As an Artificial Intelligence and Machine Learning (AI/ML) Subject Matter Expert (SME) at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward.
Seize your opportunity to make a personal impact as an AI/ML SME supporting the Case Management Modernization (CMM) Program. The CMM Program is an initiative to support the Administrative Office (AO) of the US Courts develop a modern cloud-based solution to support all federal courts across the United States which are grouped into three types, namely Appellate, District, and Bankruptcy. This modernized case management system will eventually replace the current Case Management and Electronic Case Filing (CM/ECF) system.
The AI/ML SME supports the CMM Program by leading the strategy, design, and integration of AI/ML capabilities into the program's software development and modernization initiatives. This role provides technical leadership, strategic guidance, and tool recommendations to accelerate product development, improve decision automation, and enhance overall SDLC efficiency. Working across multiple Agile teams in a complex enterprise ecosystem, the AI/ML SME ensures the responsible design, deployment, and governance of AI/ML-enabled solutions that align with federal compliance, transparency, and ethical AI frameworks.
MEANINGFUL WORK AND PERSONAL IMPACT
As An AI/ML SME, The Work You'll Do At GDIT Will Be Impactful To The Mission Of The AO Of The US Courts. You Will Play a Crucial Role In The Following Areas:
• Define and execute the AI/ML strategy for the CMM modernization program, ensuring alignment with mission objectives and modernization roadmaps.
• Provide strategic recommendations on tools, frameworks, and cloud-native AI services (e.g., AWS SageMaker, Bedrock, Azure ML) to optimize SDLC efficiency and delivery velocity.
• Identify opportunities to integrate AI into development workflows—including intelligent code review, defect prediction, automated documentation, and test optimization.
• Lead the architecture, deployment, and lifecycle management of ML models, from experimentation through productionization and continuous retraining.
• Drive adoption of MLOps best practices, integrating with DevSecOps pipelines to ensure reliable, compliant, and automated model delivery.
• Collaborate with Product Owners, Data Engineers, and Cloud Architects to define AI-powered features and analytics use cases that enhance user experience and system intelligence.
• Evaluate and recommend AI-assisted developer tools to boost productivity across coding, testing, and documentation stages.
• Ensure all AI/ML solutions adhere to federal Responsible AI principles, including transparency, explainability, and fairness (in alignment with NIST AI Risk Management Framework).
• Develop and maintain AI/ML architecture documentation, guidelines, and training materials to upskill teams and standardize implementation practices.
• Serve as a senior advisor to leadership, guiding AI governance, data ethics, and performance measurement frameworks.
TOOLS & TECHNOLOGIES YOU'LL USE:
• ML Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost.
• Cloud Services: AWS SageMaker, Bedrock, Lambda, Azure ML, GCP Vertex AI.
• MLOps: MLflow, Kubeflow, Airflow, TFX.
• Data Processing: Pandas, Spark, Snowflake, Databricks.
• DevOps & Automation: Jenkins, GitLab CI/CD, Terraform.
• Responsible AI & Monitoring: Weights & Biases, Evidently AI, Amazon Clarify.
• Collaboration: Jira, Confluence, SharePoint, MS Teams.
WHAT YOU'LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The AI/ML SME must have:
• Education: Bachelor of Arts/Bachelor of Science required; Master of Arts/Master of Science preferred
• Experience: 10+ years of specialized experience in information systems, with 5+ years being in AI/ML solution design, data engineering, or applied machine learning
• Required Skills:
• Expertise in machine learning, deep learning, and natural language processing (NLP) techniques.
• Strong proficiency with Python, ML/DL frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost) and cloud AI services (AWS SageMaker, Bedrock, Azure ML, GCP Vertex AI).
• Experience implementing MLOps pipelines and integrating ML workflows into DevSecOps CI/CD environments.
• Proven record of improving SDLC efficiency through AI-assisted development, testing, and delivery tools.
• Knowledge of federal