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General Dynamics Information Technology · 1 day ago

AI/ML Subject Matter Expert

United States

Full-time

Remote

Senior Level, Lead/Staff

$170K/yr - $229K/yr

10+ years exp

General Dynamics Information Technology (GDIT) is a global technology and professional services company that delivers consulting, technology, and mission services to the U.S. government and defense sectors. They are seeking an AI/ML Subject Matter Expert to lead the strategy, design, and integration of AI/ML capabilities into the Case Management Modernization Program, enhancing decision automation and software development efficiency.

Artificial Intelligence (AI)Cloud ComputingConsultingCyber SecurityInformation Technology

No H1B

U.S. Citizen Only

Responsibilities

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

Qualification

Artificial Intelligence (AI)Machine Learning (ML)Data SciencePythonMLOpsCloud AI ServicesML FrameworksDeep LearningNatural Language Processing (NLP)Data GovernanceModel MonitoringEthical AI PracticesAnalytical SkillsCommunication SkillsProblem-Solving Skills

Required

10 + years of related experience

Bachelor of Arts/Bachelor of Science required; Master of Arts/Master of Science preferred

10+ years of specialized experience in information systems, with 5+ years being in AI/ML solution design, data engineering, or applied machine learning

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

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)

Preferred

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

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

Benefits

Comprehensive benefits and wellness packages

401K with company match

Paid time off

Variety of medical plan options

Some with Health Savings Accounts

Dental plan options

A vision plan

Full flex work weeks

Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave

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

Short and long-term disability benefits

Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance

Company

General Dynamics Information Technology

Glassdoor3.9

General Dynamics Information Technology is an IT consulting company that specializes in cyber security, AI, and quantum computing. It is a sub-organization of General Dynamics.

Founded in 1999

Falls Church, Virginia, USA

10001+ employees