Engineering and AI Innovation Lead at SAIC

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Integration, Advanced Analytics, Automation, MLOps Deployment, DevSecOps Maturity, Cross-Functional Team Leadership, Semantic Intelligence Discovery, Predictive Analytics, Autonomous Processing, Agile Methodologies, Cloud Architecture, IC Data Standards, Change Management, Technical Briefing, Engineering Leadership, Emerging Technologies

Industry

Defense and Space Manufacturing

Description

SAIC is seeking an Engineering and AI Innovation Lead to join the Machine-assisted Analytic Rapid-repository System (MARS) Advanced Development Operations (DevOps) and Sustainment Support (ADOS) program and provide on-site technical and administrative support to facilitate operations of critical MARS infrastructure and services. This effort focuses on providing a comprehensive set of System/ Software Engineering and IT Services to maintain, sustain, enhance, and improve/ modernize MARS. This position will be located in the National Capital Region. The Engineering and AI Innovation Lead responsibilities include, but are not limited to: The MARS Engineering and AI Innovation Lead accelerates the integration of AI/ML, advanced analytics, and automation into MARS operations—delivering capabilities 6-12 months ahead of the DIA roadmap This role drives rapid prototyping, MLOps deployment, and DevSecOps maturity while ensuring all innovations align with IC analytic tradecraft, DIEKM compliance, and warfighter operational needs You'll lead cross-functional teams to transition emerging technologies from concept to production in TS/SCI environments, achieving measurable efficiency gains through semantic intelligence discovery, predictive analytics, and autonomous processing capabilities As innovation catalyst, you'll manage the MARS Technology Insertion Program, mentor engineering teams on modern development practices (microservices, Kubernetes, CI/CD), and collaborate with DIA users, CCMD staff, and IC partners to prioritize investments based on mission impact You'll establish metrics-driven innovation pipelines with 2-week sprint cadence, brief senior executives on emerging capabilities, and foster a culture of experimentation that balances operational stability with aggressive modernization—directly supporting FMI production, targeting cycles, and multi-domain operations for national security decision-makers Active TS/SCI with Polygraph One of the following certifications: AWS/Azure/GCP Professional Architect OR PE license Bachelors degree in IT, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering and 14 years or more relevant experience; or a Masters and 12 years or more relevant experience (will consider an additional 4+ years of relevant experience in lieu of degree) 10+ years engineering leadership in DoD/IC mission systems; 3+ years focused on AI/ML or emerging tech integration 5+ years leading Agile/DevSecOps teams in classified environments; proven track record deploying AI/ML in operational intelligence systems (not research prototypes) Deep AI/ML knowledge: LLMs, semantic search, knowledge graphs, MLOps platforms, vector databases DevSecOps proficiency: GitLab, Jenkins, Kubernetes, Docker, Terraform, automated security scanning Cloud/edge architecture: AWS/Azure/GCP, edge computing for DDIL, multi-domain (NIPR/SIPR/JWICS) IC data standards: DIEKM, UCORE, data provenance, RMF (NIST 800-53, ICD 503) DIA/IC mission context: FMI production, multi-INT fusion, targeting workflows, warfighter support, CCMD operations MARS ecosystem awareness: MIDB transition, cloud platforms (AIDE, DPaaS), analyst/targeter user communities Proven ability to brief senior managers on complex technical topics; manage cross-functional teams (engineers, data scientists, cybersecurity, users) Demonstrated change management: driving adoption of new technologies in risk-averse IC environments

Responsibilities

The Engineering and AI Innovation Lead accelerates the integration of AI/ML and advanced analytics into MARS operations, driving rapid prototyping and MLOps deployment. This role also involves managing the MARS Technology Insertion Program and mentoring engineering teams on modern development practices.