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# A/AI Machine Learning Engineering Sr - E3

- **Company:** Lockheed Martin
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $122,600.0 - $227,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, C++ (Programming Language), Computer Engineering, Relational Databases, Software Debugging, Human-Computer Interaction, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MySQL, OpenShift, Requirements Traceability, Software Deployment, Software Engineering, TypeScript, Rust (Programming Language), Cloud Platform System, GitHub Copilot, ReactJS, Large Language Models, Claude Code, Multi-Agent Systems, Software Troubleshooting, Generative AI, Agentic-AI, Git, Containerization, Kubernetes, Information Technology, Restful APIs, Model Context Protocol, Software Version Control, AWS EKS, Docker, Golang
- **Published:** October 23, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28128813/A-Ai-Machine-Learning-Engineering-Sr-E3-New-York-New-York-1301

## About the Role

* Bachelor's degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Mathematics, or a related technical field, or equivalent professional experience.
 * Strong communication skills with the ability to work effectively with engineering teams and program leadership.
 * Technical background in AI/ML, data science, software engineering, or a related discipline.
 * Strong proficiency in Python, with production experience in React and TypeScript
 * Demonstrated experience designing and delivering AI-powered production systems - including hands-on work with LLMs and/or Generative AI
 * Experience with agentic workflows and production-level LLM tool-calling - building, deploying, and operating them
 * Experienced in agile development methodologies and version control systems (e.g., Git, JIRA)
 * Experience deploying applications on cloud-based platforms and with containerization (e.g., Harbor, Docker, Kubernetes, OpenShift, AWS EKS)
 * Contributes to the development of new concepts and demonstrates working knowledge of industry and company practices in the field and related disciplines

Desired Skills

 * Experience contributing to a collaborative, high-performing team environment
 * Ability to manage technical risks and dependencies and align execution with program objectives
 * Experience taking technical work through planning, development, integration, testing, and delivery.
 * Knowledge of Model Context Protocol (MCP) and agentic frameworks (e.g., AWS Strands Agents SDK, multi-agent orchestration patterns)
 * Practical experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
 * Design and delivery experience in RESTful API development and integration
 * Regular use of GenAI coding assistants (Claude Code, Cline, Windsurf, GitHub Copilot)
 * Proficiency in additional languages (e.g., Java, C++, Go, Rust)
 * Familiarity with ISO/IEC 15288 systems-engineering processes, requirements traceability (RVTM), and Architecture Decision Records (ADRs)

## Description

Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test
outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces