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