AI/ML Subject Matter Expert

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

Job Qualifications:

Skills:
Artificial Intelligence (AI), Data Science, Machine Learning (ML)
Certifications:
None
Experience:
10 + years of related experience
ship 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, Google Cloud Platform 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, Google Cloud Platform 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 (, US Permanent Resident Alien, Refugee, Asylee, )

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 you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $169,604 - $229,464. 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:
40

Travel Required:
Less than 10%

Telecommuting Options:
Remote

Work Location:
Any Location / Remote

Additional 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.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans