Artificial Intelligence; AI Lead
Listed on 2026-04-17
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IT/Tech
AI Engineer, Artificial Intelligence
Position Summary
The Leidos Mission Solutions Business Area Office of Technology (OOT) under the INTEL SECTOR has an opening for an Artificial Intelligence (AI) Lead. The MSBA AI Lead will serve as the lead AI strategist and practitioner across the Business Area, responsible for defining, aligning, and accelerating Artificial Intelligence strategy and execution. This role will drive mission‑relevant, secure, and operationally deployable AI solutions that modernize intelligence tradecraft, accelerate mission software delivery, and deliver differentiated cyber and multi‑INT capabilities at speed and scale.
The MSBA AI Lead will collaborate with the BA Chief Technology Officer, BA solution architects, line managers, and growth leaders, proactively establishing relationships and meeting with customers to demonstrate the company’s credentials for solving problems with technically differentiated AI and advanced automation solutions. The role will partner with the broader Leidos Enterprise, AI research teams, and external partners to evangelize Leidos and industry AI capabilities tailored to Mission Solutions audiences.
As a key member of the CTO team, the Lead will shape how AI is applied across mission systems, turning emerging technologies into actionable solutions that drive innovation, inform strategy, and differentiate Leidos in the market. The position reports to the CTO of the Mission Solutions Business Area.
- Work with BA CTO to define and execute the Mission Solutions Business Area AI Strategy aligned to Business Area growth priorities, customer mission needs, and Sector and Corporate AI direction.
- Accelerate adoption of Agentic AI, Generative AI, AI‑assisted software development, AI‑enabled cyber operations, and multi‑INT fusion platforms.
- Ensure AI capabilities are mission‑aligned across Intelligence Production & Analyst Workflows, TCPED modernization, mission software automation, cyber operations, and Information Operations platforms.
- Partner with Solution Architects, Chief Architects, and Growth leaders to shape AI‑infused solutions into captures and proposals.
- Demonstrate ready‑now AI platforms ahead of RFP release and support OTA, CSO, and outcome‑based acquisition models.
- Establish and maintain an AI Governance Framework ensuring secure and trusted AI deployment in classified and mission‑critical environments.
- Ensure Responsible AI practices, model evaluation standards, lifecycle risk management, and Zero Trust alignment.
- Build and lead a community of AI practitioners across the Business Area, ensuring:
- Every senior technical leader is conversant and proficient in AI‑enabled mission solutions.
- Shared AI reference architectures, reusable components, and model libraries.
- Reuse of IP across programs.
- Transition AI prototypes (IRAD/CRAD) into operational programs at speed.
- Lead technical demonstrations and prototypes to counter disruptors and position Leidos as a mission‑ready AI integrator.
- Actively support priority captures and recompetes by:
- Writing and reviewing AI‑enabled solutions.
- Coaching solution architects on the design and implementation of AI into bids and white papers.
- Engaging directly with IC and DoD customers to shape AI requirements.
- Applied AI / Machine Learning Systems and Intelligence Automation
- Intelligence and Data Analytics
- Cybersecurity and Secure AI
- Integration of AI into mission and enterprise architectures
- Systems and Enterprise Engineering
- Cloud and Digital Modernization
- Master’s degree or Ph.D. and 15+ years of experience in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Applied Mathematics, or related field (or equivalent experience). Additional years experience may be used in lieu of a degree.
- Minimum 15+ years of experience in AI/ML, advanced analytics, or mission software engineering.
- Demonstrated experience operationalizing AI in classified or mission‑critical environments.
- Experience with Natural Language Processing (NLP), multi‑agent systems, and sentiment analysis.
- Experience leading research and development related to the application of AI and automation into cyber operations…
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