Lead Enterprise AI Architect

GAMA-1 Technologies • Greenbelt, MD

7d • Remote

About The Position

We are seeking a remote AI Transformation Architect to serve as a corporate-level thought partner and technical authority for artificial intelligence initiatives across federal government contracts and internal enterprise operations. This role combines strategic consulting, enterprise architecture, and federal AI governance expertise to guide executive leadership in the responsible adoption, scaling, and operationalization of AI.
The ideal candidate will operate comfortably at C-suite and Program Executive levels, translating mission needs, regulatory constraints, and business strategy into cohesive AI architectures and multi-year roadmaps aligned with federal policies, risk tolerance, and security requirements.
This is not a pure engineering role—it is a strategic architecture and advisory position with hands-on technical credibility.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (Master’s preferred)
• 10+ years of experience in enterprise architecture, advanced analytics, or AI-enabled systems
• Demonstrated experience advising senior leadership on technology strategy and transformation
• Deep understanding of federal government IT environments, including compliance, security, and acquisition constraints
• Hands-on knowledge of: AI/ML concepts and architectures Data platforms and cloud environments (AWS, Azure, GCP, or GovCloud equivalents) Model lifecycle management, governance, and operationalization
• Ability to translate complex technical concepts into clear executive-level recommendations
• Demonstrated experience with the NIST AI Risk Management Framework (formal training or certification preferred)
• Professional-level cloud architecture certification (AWS or Azure)

Nice To Haves

• Experience supporting federal civilian or DoD agencies
• Familiarity with NIST AI RMF, FedRAMP, FISMA Moderate/High environments
• Prior role as an enterprise architect, chief architect, or principal consultant
• Experience shaping AI strategies for proposals, capture efforts, or new contract wins
• Certifications (preferred but not required): Cloud architecture (AWS, Azure) Enterprise architecture (TOGAF or similar) AI/ML or data engineering certifications CISSP

Responsibilities

• Act as a trusted advisor to executive leadership on AI strategy, investment prioritization, and risk management across federal and corporate initiatives
• Define and maintain the enterprise AI vision, principles, and target architectures aligned to corporate growth objectives and federal mission needs
• Provide strategic guidance during contract transitions, and capability integrations involving AI or data platforms
• Brief executives, government stakeholders, and boards on AI readiness, risks, opportunities, and compliance posture
• Ensure AI initiatives align with federal policies and guidance, including: OMB AI directives NIST AI Risk Management Framework FISMA / FedRAMP security requirements
• Advise on Responsible AI (RAI) implementation, including fairness, explainability, human-in-the-loop controls, and auditability
• Support proposal development and contract execution by defining AI approaches compliant with federal acquisition and security expectations
• Design scalable, secure, and interoperable AI architectures spanning: Data ingestion and governance Model development, deployment, and lifecycle management (MLOps) Integration with enterprise systems (e.g., ERP, collaboration platforms, mission systems)
• Establish AI reference architectures, standards, and reusable patterns for programs and internal teams
• Evaluate and recommend AI platforms, cloud services, and tools appropriate for regulated federal environments
• Develop and maintain multi-year AI roadmaps aligned to mission outcomes, funding profiles, and organizational maturity
• Assess organizational AI maturity and recommend phased adoption strategies
• Identify opportunities for automation, decision augmentation, and operational efficiency using AI
• Balance innovation with risk, security, cost, and sustainment considerations
• Partner with program managers, cybersecurity, legal, data, and engineering teams to ensure cohesive execution
• Mentor technical leaders and program staff on AI architecture best practices and federal expectations
• Support internal training, governance forums, and communities of practice related to AI

Benefits

• health insurance coverage
• life and disability insurance
• 401(k) savings plan
• training and career development opportunities
• paid holidays and paid time off (PTO - to cover vacation, illness or disability, appointments, emergencies or other situations that require time off from work)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level