Senior Principal Enterprise Architect

SAIC•Suffolk, VA

About The Position

SAIC is seeking a highly experienced Enterprise Architect to drive innovation and modernization efforts for Artificial Intelligence and Machine Learning (AI/ML) capabilities within the Department of Defense (DoD). In this role, you will provide strategic guidance, technology expertise, and enterprise-level solutions to support transformational initiatives and achieve mission success.

Requirements

Highly experienced Enterprise Architect
Strategic guidance
Technology expertise
Enterprise-level solutions
DoD enterprise strategies
Future-state architectures
Transition roadmaps
AI/ML modernization
Trusted advisor to DoD stakeholders
Lifecycle of AI/ML solutions
Concept development to operational deployment
Business process decomposition and redesign
Information engineering and organizational redesign
IT strategy, architecture development, change management, and performance measurement
Enterprise business transformation efforts
DoD AI/ML objectives
Identify and pursue new business opportunities with DoD customers
Understanding mission requirements, capability gaps, and operational needs
Develop and deliver technical briefings, demonstrations, and proofs of concept
Build and maintain strong relationships with program managers, contracting officers, and senior leaders
Influence requirements and grow business opportunities
Support proposal development
Technical approaches
Staffing strategies
Past performance success narratives
End-to-end process of AI/ML capability development
Initial concept through operational deployment
Ideation sessions with customers and internal teams
Mission-relevant AI/ML use cases
Architect solutions
DoD security frameworks
Cloud architectures at classification levels (IL-2 through IL-6)
DevSecOps pipelines and cybersecurity policies
Oversee development activities, including sprints, testing, and user acceptance
Compliance with DoD security standards
ATO processes and Zero Trust architecture principles
Continuously research emerging AI/ML tools, frameworks, platforms, and methodologies
Assess and recommend best-of-breed technologies
Performance, scalability, security, interoperability, and cost-effectiveness
Seamless integration of selected technologies within DoD environments
Cloud deployments and containerized solutions
Design, develop, and maintain current-state and future-state architectural models and supporting artifacts
Analyze and provide recommendations on architectural changes
Integration of AI/ML services and data pipelines
Conduct architecture reviews
Compliance with EA policies and DoD standards
Collaborate with subject matter experts, data scientists, and ML engineers
Incorporate reengineered business processes and workflows into architectural designs
Engage with enterprise governance processes
Implement transition plans
Drive strategic initiatives
Align enterprise goals with AI/ML modernization efforts
Define and guide enterprise architecture processes, policies, and responsibilities
Develop strategic roadmaps prioritizing and sequencing initiatives
Achieve target-state architectures

Responsibilities

Translate DoD enterprise strategies into actionable future-state architectures and transition roadmaps for AI/ML modernization.
Serve as a trusted advisor to DoD stakeholders, guiding the lifecycle of AI/ML solutions—from concept development to operational deployment.
Apply multi-disciplinary techniques, including: Business process decomposition and redesign, Information engineering and organizational redesign, IT strategy, architecture development, change management, and performance measurement.
Lead enterprise business transformation efforts aligned with DoD AI/ML objectives.
Identify and pursue new business opportunities with DoD customers by understanding mission requirements, capability gaps, and operational needs.
Develop and deliver technical briefings, demonstrations, and proofs of concept to highlight tailored AI/ML solutions.
Build and maintain strong relationships with program managers, contracting officers, and senior leaders to influence requirements and grow business opportunities.
Support proposal development by contributing: Technical approaches, Staffing strategies, Past performance success narratives.
Lead the end-to-end process of AI/ML capability development, from initial concept through operational deployment.
Conduct ideation sessions with customers and internal teams to identify mission-relevant AI/ML use cases.
Architect solutions that align with: DoD security frameworks, Cloud architectures at classification levels (IL-2 through IL-6), DevSecOps pipelines and cybersecurity policies.
Oversee development activities, including sprints, testing, and user acceptance.
Ensure compliance with DoD security standards, including ATO processes and Zero Trust architecture principles.
Continuously research emerging AI/ML tools, frameworks, platforms, and methodologies.
Assess and recommend best-of-breed technologies based on: Performance, scalability, security, interoperability, and cost-effectiveness.
Ensure seamless integration of selected technologies within DoD environments, including cloud deployments and containerized solutions.
Design, develop, and maintain both current-state and future-state architectural models and supporting artifacts.
Analyze and provide recommendations on architectural changes, including the integration of AI/ML services and data pipelines.
Conduct architecture reviews to ensure compliance with EA policies and DoD standards.
Collaborate with subject matter experts, data scientists, and ML engineers to incorporate reengineered business processes and workflows into architectural designs.
Engage with enterprise governance processes to implement transition plans, drive strategic initiatives, and align enterprise goals with AI/ML modernization efforts.
Define and guide enterprise architecture processes, policies, and responsibilities.
Develop strategic roadmaps prioritizing and sequencing initiatives to achieve target-state architectures.