Lead Enterprise AI Architect

Overview

We are seeking a remote Lead Enterprise AI Architect for GAMA-1 Technologies.

Location:

Greenbelt, MD.

Employment type:

Full-time. Benefits include Medical, Life, Retirement, PTO. Posted 15 hours ago.

The role is a remote, corporate-level advisory position that combines strategic consulting, enterprise architecture, and federal AI governance to guide AI initiatives across federal government contracts and internal enterprise operations. This is not a pure engineering role—it's a strategic architecture and advisory position with hands-on technical credibility.

• Strategic Advisory & Leadership
  • 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
• Federal AI & Regulatory Alignment
  • Ensure AI initiatives align with federal policies and guidance, including:
  • OMB AI directives
  • NIST AI Risk Management Framework
  • FISMA / FedRAMP security requirements
  • ISO Standards
  • Data governance and privacy regulations
  • 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
• Enterprise AI Architecture
  • 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
• Portfolio & Roadmap Management
  • 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
• Collaboration & Enablement
  • 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

• 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 Gov Cloud 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)

• 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

• Executive presence and communication
• Strategic thinking and systems-level design
• Risk-based decision making in regulated environments
• Ability to bridge business, mission, and technical domains
• Credibility with both technical teams and senior leaders