Applied AI Lead - Solutions & Delivery
Listed on 2026-08-20
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Software Development
AI Engineer (Applied/Software)
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Applied AI Lead - Solutions & DeliveryLocation:
Beavercreek, OH, US, 45431 Frederick, MD, US, 21703 Fort Walton Beach, FL, US, 32548
Job
The Leonardo DRS Airborne and Intelligence Systems business is a global leader and strategic partner committed to delivering world‑class, full life‑cycle defense and intelligence products that protect the security of our nation and our allies. From air combat training to state‑of‑the‑art electronic warfare systems, our technology is deployed by virtually all U.S. military and government agencies around the world .
This is a hybrid position open to candidates who reside in or near Beavercreek, Ohio;
Frederick, Maryland; or Fort Walton Beach, Florida.
Turn “I wish AI could…” into working capability.
We've used AI before, now we treat it as a first‑class citizen at Airborne & Intelligence Systems (AIS). We build and deploy AI across signals intelligence, electronic warfare, air combat training, and the mission systems that connect them. This work shows up on our floor, in the field, and on the company's P&L, while meeting the demanding standards of our defense and commercial customers.
If you want your work and your talent to count — this is the place.
You are the person who goes to where the work is actually happening, the engineering desks, the shop floor, the back office and finds the real opportunities for AI. This is not a job where requirements are clean and arrive on a ticket. You find meaningful work yourself, the work is visible and your whole org gets rated on it. You listen for the wish beneath the request, break the work into concrete steps, figure out which steps AI can genuinely do well, and then build and ship the first working version.
Before you leave, you train the user to own it, so the win stays. Everything you ship becomes a reusable pattern that makes the next project faster. You are not just delivering pilots — you are building the library the whole function scales on.
At the heart of this function is a proprietary platform, the encoded way this business does AI. It takes any employee from a rough idea to a governed, well‑formed use case, checks it against the rules, and prepares a recommendation a human decision‑maker rules on. You don't just use it, you also feed and build it. You are the platform’s primary source of truth from the field.
Every use case you ship becomes a reusable pattern proposed back into the system, so the next person’s idea becomes an even better solution because of your work.
This is a high impact, founding individual‑contributor seat within the technical core of AI Excellence function with meaningful end to end work ownership. You report directly to top leadership of the function giving you outsize visibility, opportunity for personal growth and direct line to impact. Your peers will be AI leads for Evaluation Measurement/Infrastructure & Deployment
Job ResponsibilitiesPrimary & Essential Accountabilities .
- Discover the real work
. Sit with practitioners; surface the actual step‑by‑step process beneath a vague “AI should do this” request. The practitioners can range from very senior engineer with multiple patents/ PhD… to a non‑technical business focused user. - Break it down
. Decompose the work into small, clear units; identify where AI fits and where it doesn’t; wire each step to a real source of truth. - Ship it
. Own pilots from first conversation to production hand‑off — a working thing, running, in the hands of the people who need it. - Leave it running
. Train a local owner and deputize champions so capability spreads without adding headcount. - Make the system smarter. Turn each project into a reusable pattern that improves the shared AI platform for everyone after you.
- 5+ years of engineering or operational delivery experience (regardless of total years exp), including 3+ years shipping applied AI/ML, with recent hands‑on work using modern large‑language‑model tools.
- A demonstrated record of shipping and operating production capability — not research, not demos. You can walk us through at least two systems, including what broke and what you’d do…
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