Job Description
Company:
SAIC Location:
Suffolk, VA Career Level:
Mid-Senior Level Industries:
Technology, Software, IT, Electronics Description Description 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. Key Responsibilities:
Enterprise Architecture and AI/ML Modernization:
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. Business Development and Customer Engagement:
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. AI/ML Concept Development and Implementation:
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. Technology Research and Evaluation:
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. Enterprise Architecture Design and Governance:
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. Strategic Planning and Roadmap Development:
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. Qualifications Extensive experience in enterprise architecture development and implementation in DoD or equivalent environments. Deep expertise in AI/ML frameworks, methodologies, and DevSecOps principles. Strong background in business transformation, IT strategy, and cybersecurity (including Zero Trust and ATO processes). Demonstrated success in business development and customer relationship management. Knowledge of DoD cloud architectures (IL-2 through IL-6) and secure data systems. Strong interpersonal skills for collaboration with technical staff, stakeholders, and leadership. Experience in strategic planning, roadmap development, and managing large-scale transformation initiatives. Preferred Qualifications:
Familiarity with DoD policies, EA compliance requirements, and classified environments. Hands-on experience with advanced AI/ML tools and technologies. Certifications in enterprise architecture frameworks (TOGAF, DoDAF, etc.). Strong storytelling ability to build compelling business cases and presentations for diverse audiences.
