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, youll 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 programs 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 youll 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 workflowsincluding 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 YOULL 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 compliance frameworks such as FedRAMP, FISMA, and NIST AI RMF.

• Understanding of data governance, model monitoring, and ethical AI practices.

• Strong analytical, advisory, and communication skills to bridge strategy, engineering, and business outcomes.

• Excellent presentation and communication skills.

• Consultant mindset with the ability to work with high level customer stakeholders and build excellent customer relationship.

• Experience identifying and applying industry tools, solutions, methods best practices, and emerging technologies.

• Strong analytical skills and problem-solving skills with the ability to formulate and communicate recommendations for improvement.

• Demonstrated ability to work effectively, independently, and as part of a team.

Preferred Skills:

• Experience leading federal or judiciary AI/ML modernization programs.

• Familiarity with Generative AI for content generation, summarization, and development assistance.

• Experience applying predictive analytics to performance monitoring, test optimization, and resource planning.

• Understanding of vector databases, LLM fine-tuning, and Retrieval-Augmented Generation (RAG) pipelines.

• Background in data visualization and explainable AI (XAI) methods.

Preferred Certifications:

• Certified AI Governance Professional (AIGP) or NIST AI RMF certification

• SAFe Architect (ARCH) or SAFe DevOps Practitioner (SDP)

• PMP or ITIL 4 Foundation

• AWS Certified Machine Learning Specialty

• Google Professional ML Engineer

Security Clearance Level: Ability to obtain a position of Public Trust with the Administrative Office of the US Courts

Must be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, US Citizen)

Location: Remote

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Flexibility: Full-flex work week to own your priorities at work and at home
Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and youll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.