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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.


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