Job DescriptionDescription 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 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.
Active TS/SCI Clearance is required
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
Overview SAIC accepts applications on an ongoing basis and there is no deadline.
