AI/ML Technical Architect – Lead

General Dynamics Information Technology

AI/ML Technical Architect Lead designing secure production AI solutions for CMS. Leading architecture, MLOps, governance, and cybersecurity integration at GDIT.

Posted 8/19/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $204,000 - $276,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI/ML strategy, architecture, and implementation, with a strong focus on developing scalable models and ensuring compliance with cybersecurity and data governance standards. Proven ability to lead cross-functional teams and mentor junior engineers while integrating AI solutions into secure environments.

Highest-signal resume keywords

AI/ML StrategyModel Lifecycle Management (MLOps)Python, R, Java ProficiencyTensorFlow or PyTorch ExperienceCybersecurity and Data Governance Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Solution DevelopmentPredictive AnalyticsData EngineeringModel ValidationExplainability and Bias MitigationRetrieval-Augmented Generation (RAG)Agentic AI TechnologiesAWS SageMakerAWS, Azure, Google CloudZero Trust Architectures

Soft Skills

Technical LeadershipMentoringCollaborationAdvisory SkillsCommunication

Tools & Technologies

AWS BedrockAzure AI FoundryGoogle Vertex AIIncident Response DocumentationConfiguration Management

Certifications & Qualifications

Public Trust Clearance

Industry Keywords

CMSU.S. Federal AgenciesEnterprise-Scale SolutionsSecurity GovernanceCompliance Requirements

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityJavaPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Serve as technical lead for AI/ML strategy, architecture, and implementation across the program
Design and deploy scalable AI/ML models supporting the CMS mission
Lead predictive analytics, automation frameworks, and intelligent decision-support systems
Integrate AI solutions into secure enterprise and tactical environments
Ensure compliance with CMS cybersecurity and data governance standards
Oversee data engineering pipelines and model lifecycle management (MLOps)
Develop and maintain model validation, explainability, and bias mitigation practices
Advise program leadership and stakeholders on emerging AI technologies and mission applications
Transition experimental or prototype AI capabilities into operational production systems
Integrate security, ethical, and data governance requirements into AI development workflows
Assess AI security threats and produce ATO, configuration management, and incident response documentation
Coordinate with ISSOs, business owners, and stakeholders on secure AI solutions, audits, interviews, and governance reviews
Lead security governance processes for continuous compliance
Mentor junior engineers and provide technical leadership across cross-functional teams

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field required; Master's or PhD preferred
10+ years of progressive experience in AI/ML, data science, software engineering, or related advanced analytics disciplines
Hands-on experience developing AI/ML solutions
5+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments
Proficiency in Python, R, and/or Java
Deep understanding of TensorFlow or PyTorch, preferably implemented within AWS SageMaker
Experience integrating AI/ML capabilities into secure enterprise environments
Experience with cybersecurity, data governance, and compliance requirements
Experience developing AI products or prototypes using Retrieval-Augmented Generation (RAG) and agentic AI technologies
Experience with AWS, Azure, or Google Cloud; AWS preferred
Experience using AWS Bedrock, Azure AI Foundry, or Google Vertex AI
Experience implementing AI solutions in secure, restricted, or regulated environments
Must be able to obtain Public Trust clearance
Must have lived in the United States at least three of the last five years
No work visa sponsorship provided
Agentforce implementation experience preferred
Experience supporting enterprise-scale Salesforce Solutions preferred
Familiarity with AI governance and modernization initiatives preferred
Experience supporting U.S. Federal Agencies, preferably CMS, preferred
Experience with AWS GovCloud or Azure Government preferred
Knowledge of Zero Trust architectures preferred

Benefits

Comp & perks

Comprehensive medical plan options, some with Health Savings Accounts
Dental plan options
Vision plan options
401(k) plan with company match
Full-flex work weeks where possible
Paid vacation, sick, and personal time
Paid holidays
Paid parental, military, bereavement, and jury duty leave
Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
Short- and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance
AI-powered career tool identifying career steps and learning opportunities
Internal mobility team
Growth and professional development opportunities
Award-winning culture of innovation
Military-friendly workplace