AI Machine Learning Engineer Staff

Lockheed Martin is embarking on a digital transformation journey through its 1LMX program, focusing on enhancing operations and business processes. The company is seeking an AI Machine Learning Engineer Staff to develop Generative AI products and integrate AI solutions into existing business processes, thereby driving data-driven decision-making and innovation.

Responsibilities:

• Play a critical role in transforming the way Lockheed Martin employees work by infusing Artificial Intelligence (AI) solutions into existing business processes
• Contribute to the development of the 1LMX AI Acceleration Products that drive acceleration, inform data-driven decision making, and help the organization stay ahead of the curve
• Work on ABAP coding agents for ERP
• Be a part of the adoption process and iterate with continuous development, incorporating user feedback quickly and delivering for the fast-paced 1LMX scope

Requirements:

• Experience in software development, with a focus on full-stack engineering
• Proficiency in Python or Node.js development
• Experience with Large Language Models (LLMs) and/or Generative AI (GenAI)
• Understanding of the Software Development Lifecycle
• Experience with creating stories and working in Jira
• US Citizenship is required due to program requirements and system access
• Experience developing in the SAP ecosystem (UI5, ABAP, BTP)
• Experience with Agile and utilizing Jira for PI planning, Sprints, stories etc
• Experience developing with GenAI Coding Assistants (Spec driven development) & MCP
• Proven experience designing, developing, and integrating RESTFUL APIs with FastAPI and Pydantic data modeling
• Hands-on experience with eFOSS system
• Experience with the OData standard
• Working knowledge with Temporal workflow orchestration
• Working knowledge of OpenSearch or Elasticsearch (index management, query DSLs, hybrid search)
• Proficiency in asynchronous Python (asyncio, async/await patterns)
• Demonstrated experience building or leveraging knowledge graph based solutions (e.g., graph databases, ontologies, SPARQL)
• Experience with cloud-based platforms and containerization (e.g., Docker, Kubernetes)
• Experience with GitLab pipelines, OpenShift, and other related technologies
• Proficiency in additional programming languages, such as Java, C++, Rust, Go
• Comfort with version control systems (e.g., Github & Gitlab, SAP CTS)
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field