[Remote] AI/ML Engineer Sr (mid-career)
Note: The job is a remote job and is open to candidates in USA. Lockheed Martin is a leader in aerospace and defense, and they are seeking a Senior AI/ML Engineer to join their Data & AI Enablement team. The role involves developing AI and machine learning solutions to transform operations through data-driven decisions, while mentoring junior engineers and guiding the team's technical direction.
Responsibilities
- Conduct experiments and build production-grade solutions
- Partner with stakeholders and analysts to identify high-impact opportunities within large structured and unstructured data sets
- Apply and/or develop advanced technologies, scientific principles, and AI techniques to model complex business problems, discover insights, and provide actionable recommendations
- Guide the team’s technical direction and mentor junior engineers
Skills
- 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
- Deep knowledge of MLOps: model versioning, monitoring, Docker/Kubernetes, CI/CD pipelines (GitLab, OpenShift)
- Design and deployment of agentic systems – multi-agent orchestration, hierarchical reinforcement learning, autonomous pipelines
- Experience with multi-model system design – integrating vision, language, and reinforcement-learning models into cohesive products
- Large-scale AI platform engineering – scaling AI services across cloud environments, handling high-throughput inference workloads
- Knowledge-graph & semantic search expertise (ontologies, SPARQL, embedding-driven graphs)
- Ability to evaluate emerging AI tools, author best-practice guidelines, and drive 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
- Research orientation – 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
- Paid Time Off (PTO) to be used for incidental absences and other reasons (Washington state applicants only)
- Vacation (Washington state applicants only)
- Sick leave (Washington state applicants only)
- This position is incentive plan eligible
Company Overview
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