AI Full Stack Engineer – Agentic Systems & Ontology

Lockheed Martin is seeking an AI/ML Full Stack engineer to join their digital transformation journey. The role involves developing innovative solutions that support the organization's goals, focusing on AI strategy acceleration and enterprise-scale services.

Responsibilities:

• Work closely with a team of experts in AI, software engineering, and systems development
• Contribute to the development of innovative solutions that support the organization's goals and objectives
• Develop solutions that inform data-driven decision making and help the organization stay ahead of the curve
• Architect, deploy, and support enterprise scaled services hosted on Cloud and on-premise technologies
• Provide mentorship and make meaningful contributions to the team's efforts

Requirements:

• Proven full-stack software development experience with advanced Python (proficient enough to mentor others and review code), proficiency in at least two other programming languages (e.g., Java, C++, Go), and modern JavaScript frameworks (React.js, Angular)
• Ability to design and validate knowledge graphs based on ontologies and integrate graph data into applications, with experience handling the entire lifecycle of an AI-powered application
• Experience with LLMs/Generative AI and Cloud Infrastructure with GitOps
• Demonstrated experience with API design and specifications (REST/OpenAPI, JSON/JSON-Schema), including building and managing APIs and back-end systems
• US Citizenship is required due to program requirements and system access, plus a Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field (or equivalent education/experience)
• Practical experience with production level LLM Tool Calling workflows
• Design and delivery experience in API Development & Integration (REST, GraphQL, etc)
• Expertise and strategic use of GenAI Coding Assistants
• Experience with agent development using various agentic tools and standard agentic frameworks (CrewAI, Google ADK, LangChain, LangGraph, Pydantic AI, AWS Strands)
• Experience with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle
• Hands-on experience with AWS services, Amazon RDS PostgreSQL, Amazon Bedrock, EC2 instances, and S3 storage, for building, deploying and scaling applications
• Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or Kubernetes/OpenShift pipelines) with background deploying/using Terraform/Ansible
• Data engineering experience
• Production level Information retrieval and semantic data discovery development experience (e.g. Experience with Vector Databases, k-NN, and Semantic Search)
• Front-end and back-end development experience in at least two other programming languages (e.g., Java, C++, Go, etc) and modern JavaScript frameworks (React.js, Angular)
• Experienced in designing and validating knowledge graphs (KG) based on ontologies and the integration of graph data into applications. Experience with KG adjacent tools and technologies (e.g. RDF, OWL, SPAQL, and Ontop)
• Excellent communication, collaboration, and cross‑functional stakeholder experience
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field