Director, Applied AI (Hands-On / Technical)
Company: Leidos
Location: Reston
Posted on: April 1, 2026
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Job Description:
In the Homeland Sector, our work helps protect communities and
keep critical systems running safely. AI can make a big
difference—helping teams detect threats faster, make better
decisions, and build more reliable systems—but only if it works in
real-world operations at scale. This includes challenges like
modernizing air traffic, improving airport screening, and securing
energy infrastructure across the U.S., UK, and Australia. This role
offers a rare opportunity to take AI from concept to mission-scale
impact across an entire sector—with access to real mission data,
production systems, and the support needed to deploy at scale. As a
Hands-On AI Technical Director, you will shape how AI is used
across the sector. You’ll connect new technologies to real mission
needs and help teams move from prototypes to production systems
that are used every day. You’ll stay involved in technical
decisions and solution design while helping teams adopt and scale
what works. What You’ll Achieve in 6–12 Months •Deliver at least
one production AI capability (not just a prototype) used in a
mission workflow •Establish a repeatable path from prototype ?
production ? scale used by multiple teams •Stand up lightweight
MLOps practices (versioning, monitoring, release) that teams
actually use •Launch 2–3 high-impact pilots with clear decisions to
scale or stop Primary Responsibilities: •Drive AI solutions
end-to-end—prototype ? production ? scale—while staying involved in
design and implementation •Define and lead AI strategy and
execution across the Homeland Sector •Provide hands-on technical
leadership (prototyping, code reviews, reference implementations)
and guide integration into systems •Establish practical standards
for MLOps, governance, and responsible AI, and apply them in
delivery •Evaluate new technologies and run pilots with clear
criteria for scaling or stopping •Partner with teams and customers
to deliver high-impact AI solutions •Share and scale what works
across programs (reuse and standard approaches) Basic
Qualifications: •Master's degree and 15 years experience in a
related field with or equivalent practical experience building and
scaling AI systems. Additional years experience may be used in lieu
of degree. •Experience leading development and production
deployment of AI/ML solutions •Strong grounding in ML, data
systems, and model lifecycle management, with hands-on experience
in modern frameworks and cloud platforms •Experience integrating AI
into real operational systems •Proven ability to lead across teams
while staying close to the work, with strong communication skills
•Must be able to work from the Leidos Reston GHQ. Flexibility with
remote with the ability to travel to the corporate office as
needed. •Eligible to obtain and maintain a U.S. security clearance
(U.S. citizenship required; we support the process) Preferred
Qualifications: •Experience in mission-critical or regulated
environments (e.g., defense, healthcare, finance) •Experience with
generative AI / LLMs and applying them in real-world systems
•Experience scaling AI across organizations or portfolios (driving
adoption, standardization, and reuse) •Experience operating AI in
production (MLOps, model governance, monitoring, reliability)
•Experience building cloud-native AI platforms (containerization,
Kubernetes, modern data platforms) •Active security clearance
•Track record of technical leadership or influence (e.g., leading
initiatives, mentoring, open source, publications) If you're
looking for comfort, keep scrolling. At Leidos, we outthink,
outbuild, and outpace the status quo — because the mission demands
it. We're not hiring followers. We're recruiting the ones who
disrupt, provoke, and refuse to fail. Step 10 is ancient history.
We're already at step 30 — and moving faster than anyone else
dares. Original Posting: March 25, 2026 For U.S. Positions: While
subject to change based on business needs, Leidos reasonably
anticipates that this job requisition will remain open for at least
3 days with an anticipated close date of no earlier than 3 days
after the original posting date as listed above. Pay Range: Pay
Range $154,050.00 - $278,475.00 The Leidos pay range for this job
level is a general guideline only and 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.
Keywords: Leidos, Reston , Director, Applied AI (Hands-On / Technical), IT / Software / Systems , Reston, Virginia