The Role
The Lead Enterprise AI Architect will provide strategic guidance and technical authority on AI initiatives, ensuring alignment with federal policies and enterprise goals. Responsibilities include developing AI architectures, managing roadmaps, and advising executive leadership on technology strategy and AI governance.
Summary Generated by Built In
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.
Key ResponsibilitiesStrategic Advisory & Leadership
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.
Key ResponsibilitiesStrategic 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
- 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
- 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
- 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)
- 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
Top Skills
AI
AWS
Azure
Data Platforms
Fedramp
Fisma
GCP
Govcloud
Ml
Nist Ai Risk Management Framework
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The Company
What We Do
GAMA-1 is a highly-technical Certified Small Disadvantaged Business with a mature service delivery model. We combine industry and government standards with established GAMA-1 methodologies to develop, engineer, secure, implement, and maintain IT solutions and services. We refine our methods through continuous process improvement and hold International Organization of Standards (ISO) 9001 (Quality), ISO 20000 (ITSM), and ISO 27001 (Security) certifications. We train our staff on IT Infrastructure Library (ITIL) v4 and apply Capability Maturity Model Integration (CMMI) Services Level 3 processes.
GAMA-1 is proud to be Certified™ by Great Place to Work® for two consecutive years. This prestigious award is based entirely on what current employees say about their experience working at GAMA-1 Technologies. This year, 97% of employees said it’s a great workplace compared to 57% of typical U.S.-based company employees.
