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# AI Machine Learning Engineering Staff

- **Company:** Lockheed Martin
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $150,800.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Python (Programming Language), Machine Learning, Azure Machine Learning, Software Engineering, Google Cloud, Large Language Models, Backend, Kubernetes, Information Technology, Machine Learning Operations, Dataiku, Databricks
- **Published:** September 25, 2026
- **Apply:** https://dejobs.org/x/x/49EC3AE7AE93416681D23604D581C922/job/

## About the Role

* 5+ years of related experience in software engineering, platform engineering, MLOps, ML infrastructure, and/or GenAI systems.
 * Experience designing, deploying, or operating MLOps pipelines, model deployment workflows, data and artifact lineage, or GenAI application backends.
 * Strong communication skills and the ability to work directly with customers, platform teams, and program stakeholders.
 * Experience with LLM and GenAI systems, evaluation workflows, prompt or context engineering, or agentic application patterns.
 * Demonstrated ability to lead technical direction for other engineers through architecture, decomposition, code review, or deployment standards.
 * Hands-on familiarity with Kubernetes-based deployment patterns, GPU-backed environments, and secure software delivery practices.
 * U.S. citizenship and ability to obtain and maintain a Secret or Top Secret clearance.

Desired Skills

 * B.S. (or higher) in Computer Science, Electrical / Aerospace Engineering, Applied Mathematics, or related field.
 * Experience with enterprise AI/ML platforms such as Amazon SageMaker, Databricks Mosaic AI, Google Cloud Vertex AI / Gemini Enterprise Agent Platform, Microsoft Foundry, Domino Data Lab, Dataiku, IBM watsonx, or DataRobot.
 * Familiarity with Python and at least one backend or systems language
 * Demonstrated experience delivering production AI/ML systems or platform capabilities with ambiguous requirements and multiple stakeholders.
 * Experience working across cloud and on-prem GPU environments.
 * Ability to communicate technical tradeoffs clearly to senior stakeholders while maintaining delivery momentum across customer and internal teams.

## Description

Serves as a Staff-level Forward Deployed Engineer for AI Factory (an internal AI/ML Ops Platform), leading the use of Lockheed Martin's AI Factory platform to solve customer MLOps and GenAI problems. Owns customer solution discovery, architecture, implementation strategy, deployment, and adoption for high-value AI/ML workflows while ensuring the platform is used effectively, consistently, and with maximum reuse. Uses this deployment work to identify weaknesses in AI Factory's foundational products and platform, such as design flaws, performance gaps, reliability risks, and integration friction, and drives actionable remediation suggestions back to core platform engineering team.