> Markdown version of [/jobs/ext/3897928-applied-ai-lead-solutions-delivery](https://www.wearedevelopers.com/jobs/ext/3897928-applied-ai-lead-solutions-delivery). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied AI Lead - Solutions & Delivery - **Company:** Leonardo DRS - **Location:** Frederick, MD, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Large Language Models, AI Platforms, Information Technology - **Published:** October 23, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3466575754&tx=VT6661TTV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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 differently. * At least one of those was built where no team, no spec, and no predecessor system existed - and it was still in use after you moved on. * Demonstrated ability to translate ambiguous, real-world work into scoped, measurable pieces, flagging risks unprompted. * Bachelor's degree and 5 years experience or equivalent combination of both. Engineering, Computer Science, Data Science, or a related technical field is preferred * Five years of relevant experience (or an equivalent combination of experience and training that provides the requiredknowledge, skills, and abilities) * Proficient technical expertise with demonstrated application * Excellent interpersonal, leadership, negotiation, communication and writing skills, * Forward deployed or embedded delivery experience with non-technical/highly technical, initially skeptical users. * A track record of training or deputizing others who kept delivering after you left. * Defense, manufacturing, or regulated-industry domain experience (operations, quality, inspection). * Active or prior security clearance. U.S. Citizenship required. This position requires an active DOD security clearance or the ability to obtain such clearance within a reasonable time after commencement of employment. ## Description 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, Primary & 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.