AI/ML Engineer Sr (mid-career)
About The Position
The Lockheed Martin Data & AI Enablement – Advanced Solutions team supporting Rotary & Mission Systems (RMS) is responsible for developing strategies and implementing integrated, cross‑functional solutions that transform operations through data‑based decisions that deliver business‑based outcomes. Our AI team is at the forefront of the digital transformation, building artificial‑intelligence and machine‑learning solutions that drive tangible business improvements. A Senior AI/ML Engineer will be a hands‑on practitioner tasked with conducting experiments, building production‑grade solutions, and partnering with stakeholders and analysts to identify high‑impact opportunities within large structured and unstructured data sets. The role applies and/or develops advanced technologies, scientific principles, and AI techniques to model complex business problems, discover insights, and provide actionable recommendations while guiding the team’s technical direction and mentoring junior engineers.
Requirements
- Bachelor’s (minimum) or Master’s degree in Computer Science, AI/ML, Electrical/Computer Engineering, or a related field
- 3 + years of hands‑on AI/ML engineering experience with a proven record of delivering production AI solutions
- Strong proficiency in Python
- Hands‑on experience with large‑language‑model APIs, prompt engineering, Retrieval‑Augmented Generation (RAG), and agentic orchestration tools (e.g., LangChain, ReAct)
- Demonstrated ability to lead multiple projects simultaneously, define scope, set milestones, and deliver results independently
- Excellent written and verbal communication skills; ability to present technical concepts to executive audiences and produce clear documentation
Nice To Haves
- Deep knowledge of MLOps: model versioning, monitoring, Docker/Kubernetes, CI/CD pipelines (GitLab, OpenShift)
- Knowledge‑graph & semantic search expertise (ontologies, SPARQL, embedding‑driven graphs)
Responsibilities
- Conducting experiments
- Building production-grade solutions
- Partnering with stakeholders and analysts to identify high-impact opportunities within large structured and unstructured data sets
- Applying and/or developing advanced technologies, scientific principles, and AI techniques to model complex business problems, discover insights, and provide actionable recommendations
- Guiding the team’s technical direction
- Mentoring junior engineers
- Design and deployment of agentic systems – multi‑agent orchestration, hierarchical reinforcement learning, autonomous pipelines
- Integrating vision, language, and reinforcement‑learning models into cohesive products
- Scaling AI services across cloud environments, handling high‑throughput inference workloads
- Evaluating emerging AI tools, authoring best‑practice guidelines, and driving adoption across the team
- Provide mentorship and technical guidance to junior developers, helping them grow their AI/ML skills, adopt best‑practice coding standards, and contribute effectively to team projects
- Enable business users by translating technical solutions into clear, actionable insights, offering training and self‑service tools so they can independently explore data and make data‑driven decisions
- Proven success leading cross‑functional teams and influencing technical roadmaps
- Continuously monitor emerging AI trends, produce impact analyses, and share insights with the broader organization
Benefits
- Medical
- Dental
- Vision
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- EAP
- Education Assistance
- Parental Leave
- Paid time off
- Holidays
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
