Key skills
PythonJavaC++CAIArtificial IntelligenceMachine LearningMLGenerative AIGenAILLMLarge Language ModelsKubernetesDockerOpenShiftGitGitLabVersion ControlJiraAgileDecision Making
About this role
Lockheed Martin is embarking on a digital transformation journey, seeking an AI Machine Learning Engineer Senior to help develop Generative AI products. The role focuses on transforming business processes through AI solutions and contributing to the development of AI Acceleration Products.
Responsibilities:
- 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
- This role will provide you with a unique opportunity to learn and grow 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
- Coding experience with Python
- Experience with Large Language Models (LLMs) and/or Generative AI (GenAI)
- Experience with 1LMX programs
- 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 GenAI Coding Assistants
- Experience with LLM Tool Calling
- Proven experience designing, developing, and integrating robust APIs
- Hands-on experience with Model Context Protocol
- Demonstrated experience building or leveraging knowledge graph based data science solutions (e.g., graph databases, ontologies, SPARQL, embedding driven graph representations) to enrich feature engineering and enable relational reasoning
- 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++, ABAP
- Understanding of agile development methodologies and version control systems (e.g., Git)
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field