Applied AI Manager-Infrastructure & Deployment Job Listing at Leonardo DRS in Frederick, MD (Job ID 1381078000)

Description

Job ID: 114106 

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.

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.

AI has to run on real hardware, and someone has to own it. That's you. You stand up our own AI servers from bare metal — open-weight models, high-performance GPU hosting — keep them running, keep them secure, and fix them when they break. You also build and deploy AI systems on the corporate secure cloud as a developer.

This is a build-and-run role: you don't just stand infrastructure up; you operate it so that what you build keeps working without you in the room. For our own hosting, you are the platform team. On the corporate cloud you are a developer, not the administrator. Corporate IT owns the cloud platform itself (provisioning, networking, identity, patching). You build on it; you don't run it, and you don't build a competing platform. If that boundary chafes, this isn't the seat; if it reads as clarity, keep going.

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 build it. You build and host the platform itself, along with the self-serve tools that carry it to the wider workforce. The system everyone else uses runs on infrastructure that you own and operate.

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 Solutions & Delivery/Evaluation & Measurement.

• Stand up local AI hosting. Model serving, MLOps, and server-level administration for on-premises, self-hosted, and air-gapped environments — setup through sustainment.
• Deploy on the secure cloud. Develop, integrate, and ship AI systems on the corporate GCC High environment as a developer.
• Own security and accreditation engineering. Get our hosting to an authorization-to-operate; partner with the security office; flag capabilities that can't get there.
• Instrument everything you run. Tracing, telemetry, and observability are part of the build, not an afterthought — you'll know it's failing before a user calls.
• Build the tooling everyone uses. Host the shared AI platform tooling and the self-serve tools that reach the wider workforce.
• Ship only what's been cleared. You deploy; a separate teammate runs the quality gate. You are the builder, not the grader of your own work
• Guide, maintain and monitor the operational excellence program and activities, ensuring integration and coordination with the AI Excellence leadership
• Manage opportunities identified for improvement using AI Excellence principles and methodologies.
• Effectively communicate with team members, senior leaders and key stakeholders on the status, objectives, risks, and mitigation plans associated with projects, as well as ensure team members are aware of integrated project timelines.
• Provide training in support of AI excellence objectives and the execution of chartered projects
• Manage budget, cost, schedule and rate of return for AI excellence activities
• Communicate clearly (written and oral) with customers, people and partners
• Support, communicate, reinforce and defend the mission, values and culture of the organization

• 5+ years in infrastructure, platform, or site-reliability engineering (regardless of total years exp), including 3+ years in MLOps or model serving, with recent hands-on self-hosted or LLM-inference/training/tuning work.
• A hands-on record of standing up model-serving or hosting in production and then operating it — an infrastructure builder, not just a platform user. Expect to walk us through what you built, what broke at 2 a.m., how you knew, and what you changed so it wouldn't again.
• At least one environment stood up from the first server, with no inherited platform — and it outlived your day-to-day involvement because you documented and hardened it.
• Server-level system administration and security engineering for self-hosted and air-gapped systems.
• Cloud development capability (developer, not just user); working fluency with open-weight models, quantization, and sanctioned endpoints.
• 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 required knowledge, skills, and abilities)
• Proficient technical expertise with demonstrated application
• Excellent interpersonal, leadership, negotiation, communication and writing skills
• U.S. citizenship, with the ability to obtain and maintain a U.S. Government security clearance.

Preferred Qualifications

• Carried a system through security accreditation (ATO / CMMC / FedRAMP) as the ISSO or security lead.
• Deep modern inference optimization: quantization, multi-model VRAM budgeting, serving-stack tuning (vLLM or equivalent).
• GovCloud / GCC High / DoD environment familiarity.
• Experience hosting coding-assistant or IDE-service model sets.
• Active 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.

Taking care of our people is a top priority at Leonardo DRS. We are proud to offer competitive salaries and comprehensive benefits, including medical, dental, and vision coverage, a company contribution to a health savings account, telemedicine, life and disability insurance, legal insurance, and a 401(k) savings plan. We champion wellness programs that focus on physical, emotional, and financial well-being. We develop our talent by offering programs and activities to support career-growth, professional development, and skill enhancement. And we understand there is more to life than work, and the importance of offering flexible work schedules with our 9/80 program, competitive vacation, health/emergency leave, paid parental leave, and community service hours. 
*Some employees are eligible for limited benefits only

Leonardo DRS, Inc. and its subsidiaries provide equal opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws.#AIS