Agile Acceleration Team Solutions Architect Chief Job Listing at SAIC in Arlington, VA (Job ID 2612143)

Description

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 government 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 

  • Develop a strategic engineering plan for addressing identified gaps and anticipated challenges from the above 

• 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 

• Ability to leverage domain expertise for a comprehensive understanding of customer requirements 

• 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 applying DoW Security Management and Security Engineering policy guidance and directives 

• Experience with DoW RMF, vulnerability assessments, Information Assurance Vulnerability Alerts (IAVA) reporting, and IA problem resolution 

• Experience with evaluating cybersecurity engineering tradeoffs in cloud-native and multi-cloud environments 

• Experience designing and implementing security controls in accordance with NIST SP 800-171 and NIST SP 800-53