Senior Solutions Architect — Enterprise Cloud & AI

SAIC

Virginia

Hybrid

USD 120,000 - 160,000

Full time

5 days ago
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Job summary

Science Applications International Corp. (SAIC) seeks a Solutions Architect to translate complex requirements into scalable technical solutions for the VA Medical Disability Exam program.

You will partner with development teams to shape architecture, lead delivery efforts, and own the full delivery lifecycle from requirements to transition. The ideal candidate will have 14+ years in engineering or a Master's with 3+ years, with cloud, AI/ML, cyber, and enterprise architecture expertise, plus the

Qualifications

  • Bachelor's degree in engineering, CS, or related field with 14+ years experience, or a Master's with 3+ years.
  • Certifications: AWS Solutions Architect, Azure Solutions Architect Expert, and/or Google Professional Cloud Architect.
  • Experience across cloud, AI/ML, cyber, software development, systems engineering, and enterprise architecture.
  • Ability to integrate diverse technologies into complex enterprise environments.

Responsibilities

  • Provide architectural direction and lead delivery teams across programs.
  • Own technical solution from requirements through transition and delivery lifecycle.
  • Ensure alignment with business goals, best practices, and industry standards.
  • Stay current on health AI technologies and cloud-native patterns and translate to actionable guidance.

Skills

Cloud architecture
Enterprise integration
AI/ML basics
Regulatory compliance
Public trust clearance

Education

Bachelor's degree in engineering or CS
Master's degree in related field

Job description

Science Applications International Corp. (SAIC) seeks a Solutions Architect to translate complex requirements into scalable technical solutions for the VA Medical Disability Exam program.

You will partner with development teams to shape architecture, lead delivery efforts, and own the full delivery lifecycle from requirements to transition. The ideal candidate will have 14+ years in engineering or a Master's with 3+ years, with cloud, AI/ML, cyber, and enterprise architecture expertise, plus the

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