Solutions Architect

SAIC•Reston, VA

About The Position

SAIC is seeking a Solutions Architect to provide technical advisory leadership and serve as a technical cornerstone for its technology stack in support of the VA Medical Disability Exam (MDE) program. The program provides Veterans with timely, accurate, and thorough medical examinations. The Solutions Architect partners with development and engineering teams to design and implement enterprise-scale solutions, provide architectural direction, lead delivery teams, and support successful outcomes across complex program initiatives. The role owns the technical solution across the full delivery lifecycle—from requirements and architecture through build, validation, and transition—while ensuring alignment with business objectives, best practices, and industry standards.

Requirements

  • Bachelor’s degree in engineering, Computer Science, or a related technical field and 14 years or more of experience, or a master’s degree and 3 years of related experience.
  • Certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, and/or Google Professional Cloud Architect.
  • Working knowledge across cloud, AI/ML, cybersecurity, software development, systems engineering, and enterprise architecture.
  • Strong ability to integrate diverse technologies into complex enterprise environments.
  • Must be able to obtain and maintain a public trust position and favorable suitability based on a background investigation.

Nice To Haves

  • Cloud cost modeling or experience with cloud cost optimization tools.
  • Familiarity with DevOps practices and CI/CD pipelines.
  • Experience supporting Federal government, healthcare, or other highly regulated environments.
  • Knowledge of regulatory compliance frameworks such as HIPAA and FedRAMP.

Responsibilities

  • Introduce a technical vision and examine existing systems architecture to identify dependencies and gaps.
  • Collaborate with technical staff to recommend solutions that meet compliance, interoperability, and scalability requirements.
  • Apply engineering disciplines to planning, design, analysis, coding, testing, rollout, and support of information systems architectures.
  • Initiate, supervise, and develop requirements for complex programs.
  • Stay current on emerging health AI technologies, clinical AI models, and cloud-native patterns, and translate that knowledge into actionable guidance and architectures.
  • Provide architectural direction, lead delivery teams, and own the technical solution across the delivery lifecycle.
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