Agile Acceleration Team Solutions Architect Team Lead

Description

SAIC is seeking qualified applicants to support a cutting-edge data, analytics, and AI platform. Roles include managing customer relationships, service portfolio and catalog management, software engineering & development, data/AI engineering, IT systems operations, and use case intake and analytics for DoW enterprise-scale mission objectives expected in Spring/Summer 2026.

Positions are contingent pending contract award.

A majority of the opportunities are in the Washington DC Metropolitan Area (WDCMA). Some work may be performed remotely, subject to Government approval.

Job Responsibilities:

• During Transition In:
  • Inherit existing architecture artifacts and tech documentation
  • Conduct architecture discovery sessions with gov and CDAO stakeholders
  • Assess current modular maturity across NIPR/SIPS/JWICs environments
  • Identify technical debt, vendor-lock risks, and non-standard components
  • Review existing APIs, tech standards, risks and constraints
  • Map current DevSecOps and CI/CD pipelines
  • Assess current Cloud architecture
• Design and develop solutions for:
  • Complex application integration problems
  • System administration issues
  • Network concerns
• Perform systems management and integration functions.
• Interface directly with all user types and WDP development teams in all phases of the product lifecycle to:
  • Eliminate roadblocks
  • Maintain requirements discipline
  • Continuously enhance WDP system performance and capabilities.
• Maintain critical industry and academia relationships to source and accredit best-of breed AI/ML tools, accelerating accreditation.
• Architect use case solutions in support of Customer Success Operations.

Qualifications

Education and Experience: Bachelor's degree with 18 years of relevant experience; or Master's with 16 years of relevant experience, or PhD or JD with 8 years of relevant experience.

Knowledge, Skills, Abilities, and Competencies:

• Knowledge of cloud computing concepts, data pipelines & APIs

• Advanced problem-solving skills, with a demonstrated track record of identifying roadblocks, analyzing root causes, and driving effective resolutions.

• Customer-centric mindset, ensuring solutions support positive user experiences while meeting stakeholder expectations and mission outcomes

• Ability to engage directly with diverse user groups and coordinate closely with development teams throughout all phases of the product lifecycle.

• Experience with full lifecycle and secure and automated development of data management, data analytics, or ML

• Experience with data visualization packages in Python or similar programming languages

• Data engineering and operations experience with one of the large cloud-computing infrastructure solutions similar to AWS, MS Azure, or Google Cloud Platform (GCP) environment

• Experience using Agile development methodologies and Application Lifecycle Management