Artificial Intelligence (AI) Lead

The Leidos Mission Solutions Business Area Office of Technology (OOT) under the INTEL SECTOR has an opening for an Artificial Intelligence (AI) Lead.

Position Summary
The Mission Solutions Business Area (BA) 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 across the Business Areas. This leader 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 (CTO) BA solution architects line managers and growth leaders to drive AI enabled solutions into program and mission operations captures proposals and non-traditional acquisitions. The MSBA AI Lead will proactively establish relationships and meet with current and potential customers to demonstrate the companys credentials for solving problems with technically differentiated AI and advanced automation solutions. The MSBA AI Lead will partner with the broader Leidos Enterprise AI research teams and external partners to stay informed on and evangelize Leidos and industrys AI capabilities tailored to Mission Solutions Business Area audiences.

As a key member of the CTO team you will play a central role in shaping how AI is applied across mission systemsturning emerging technologies into actionable solutions that drive innovation inform strategy and differentiate Leidos in the market.

The position will report to the CTO for the Mission Solutions Business Area.

Primary Responsibilities
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 OTAs CSOs 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

Primary Focus Areas
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

Basic Qualifications
Masters 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 (offensive defensive or information-operations)
Experience deploying Generative AI / LLMs Knowledge Graphs or other technologies to improve analytic activities
Experience leading AI solutioning in capture and proposal efforts.
Proven experience working with distributed highly technical teams.
US Citizen with Active TS/SCI with CI Poly.

Preferred Qualifications
Well-developed strategic mindset with ability to communicate and inspire others.
Knowledge of DoD Federal and Intelligence Community customers.
5 years supporting U.S. Intelligence Community or DoD/DoW customers.
Experience modernizing TCPED workflows using AI.
Strong executive communication skills and ability to engage senior IC leadership.

Why Leidos
At Leidos youll collaborate with forward-thinking experts across disciplines apply emerging technologies to real mission challenges and grow into a role that shapes the future of national security technology.
If you are a creative systems-level thinker who thrives at the intersection of technology innovation and national securitythis is your opportunity to make an impact.
Join us and define how AI moves from concept to mission impact.

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.