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.

Responsibilities 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 Required Qualifications 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) Preferred Qualifications 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 Key Competencies 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 #J-18808-Ljbffr