AI Engineer Sr - Generative AI; hybrid

Description

Are you ready to join a team that's pushing the boundaries of Artificial Intelligence and making a real impact in the industry? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly skilled and motivated individual to support the Applied AI team and specifically the Cognitive Modules portfolio. As a key member of our team, you'll have the opportunity to work on a wide range of projects, from prototypes to deployment, and contribute to the development of innovative solutions that provide discriminating capability to our customers.

• Developing software products that implement Artificial Intelligence to provide cutting‑edge solutions to our customers
• Engaging in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test
• Participating in activities such as proof of concepts, development of prototypes, building demonstrators, and transition to production
• Leveraging current computer science paradigms, including object‑oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database)
• Developing code to solve complex problems and field innovative solutions

We offer flexible work schedules and comprehensive benefits, investing in your future and security. Learn more about Lockheed Martin's comprehensive benefits package here. At Lockheed Martin, we empower employees to think big, lead with a growth mindset, and make the impossible a reality. We provide the resources and flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you.

• You are a highly motivated and experienced individual with a strong background in software engineering and computer science
• You have a strong work ethic, self‑motivation, time management, and interpersonal skills
• You are familiar with current computer science paradigms, including object‑oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database)
• You have experience developing code to solve complex problems and field innovative solutions
• You are a team player with excellent communication skills and the ability to work effectively in a collaborative environment

Must be located close to an LM site for hybrid work arrangement

#LMLAIC

• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Proficiency in Python (and optionally one compiled language such as C++ OR Go OR Java)
• Familiarity with containerization (Docker OR Podman) and orchestration (Kubernetes)
• Experience with LLM frameworks/libraries (e.g., Hugging Face Transformers  OR Lang Chain OR OpenAI API OR vLLM OR Deep Speed)

• Master’s Degree in Engineering, Computer Science, or other related discipline
• Strong grasp of prompt engineering, few‑shot learning, and model alignment techniques
• Design and implementation of API‑first services (REST, gRPC, Graph
  
  QL)
• Experience with at least one of the following communication protocols; REST or gRPC
• Experience with Test‑Driven Development from both unit‑ and system/acceptance‑level perspectives
• Experience with software orchestration (e.g. Kubernetes, Helm, Istio/Linkerd) and modern Git Ops workflows.
• Understanding of CI/CD pipelines for ML (MLflow, Kubeflow, Git Hub Actions, Azure
  
  ML, etc.)
• Experience developing microservices and microservice architectures
• Experience building and deploying software for defense mission systems
• Experience with real‑time embedded software engineering
• Experience with hardware‑accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL)
• Experience with model deployment software libraries and stacks (e.g. NVIDIA Tensor
  
  RT, Triton Inference Server, Onnx Runtime)
• Experience deploying AI‑enabled systems in multiple environments (e.g. cloud, edge devices)
• Experience with high‑performance computing
• Experience interfacing with databases (SQL, Mongo
  
  DB, etc.)
• Experience leading other engineers or small teams
• Familiarity with…