AI Machine Learning Engineer Staff

Lockheed MartinDenver, CO
Remote

About The Position

Join Lockheed Martin’s digital transformation journey as we accelerate the OneLM Mission-Driven Transformation through our 1LMX program. This strategic priority is reshaping our operations and business processes to better serve our customers in terms of cost, quality, and capabilities, while delivering the speed, agility, and insights necessary to stay ahead of rapidly-evolving threats. The Advanced Solutions team within the 1LMX data workstream is hiring an A/AI machine Learning Engineer Staff to help develop our Generative AI products. The SEMPL solution is a groundbreaking effort to revolutionize Lockheed Martin's Software Engineering and Management Process (SEMP) and Systems Development Life Cycle (SDLC) using Generative AI and Data Science with application to the 1LMX deliverables. We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change and acceleration. In this role, you will play a critical role in transforming the way Lockheed Martin employees work by infusing Artificial Intelligence (AI) solutions into existing business processes. You will 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. Some of the products for this role include working on ABAP coding agents for ERP. This role will provide you with a unique opportunity to learn and grow yourself while also mentoring and leading others in this exciting and constantly evolving space while making meaningful contributions to the team's efforts. You will 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.

Nice To Haves

  • 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).

Responsibilities

  • Infuse Artificial Intelligence (AI) solutions into existing business processes.
  • Contribute to the development of the 1LMX AI Acceleration Products.
  • Work on ABAP coding agents for ERP.
  • Mentor and lead others in the AI/ML space.
  • Participate in the adoption process and iterate with continuous development.
  • Incorporate user feedback quickly and deliver for the fast-paced 1LMX scope.

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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