AI/ML Subject Matter Expert

Overview

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

to develop a modern cloud-based solution to support all federal courts across the United States, grouped into three types: Appellate, District, and Bankruptcy. This modernized case management system will eventual 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 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

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, Refugee, Asylee, US Citizen) Location

Remote Compensation and Benefits

The likely salary range for this position is $166,280 - $224,968. This is not a guarantee of compensation and may vary based on experience, location, and contractual requirements. Additional Details

Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Total Rewards at GDIT: Our benefits package includes medical, dental, vision, 401(k) with company match, paid time off and other programs. More details vary by location and role. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans gdit.com/tc

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