AI Full Stack Engineer – Agentic Systems & Ontology

Lockheed Martin•Orlando, CO

13h•Remote

About The Position

Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation. The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML Full Stack engineer or an accomplished full stack engineer looking to grow into an AI/ML engineer, to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized agentic development, and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will conduct experimental work for the exploration of cutting-edge technologies. 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. In this role, you will work closely with a team of experts in AI, software engineering, and systems development. You will contribute to the development of innovative solutions that support the organization's goals and objectives. You will develop solutions that inform data-driven decision making and help the organization stay ahead of the curve. You will architect, deploy, and support enterprise scaled services hosted on Cloud and on-premise technologies. This role will provide you with a unique opportunity to learn and grow, mentor, 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)
Proficiency in modern JavaScript frameworks (React.js, Angular)
Ability to design and validate knowledge graphs based on ontologies and integrate graph data into applications
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
Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field (or equivalent education/experience)
Proven experience maintaining/managing github/gitlab projects with multiple developers on it
Experience with strategic use of GenAI Coding Assistants

Nice To Haves

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)
Expertise with agent development using various agentic tools and standard agentic frameworks (CrewAI, Google ADK, LangChain, LangGraph, Pydantic AI, AWS Strands)
Expertise with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle
5+ years of hands-on experience with AWS services, Amazon RDS PostgreSQL, Amazon Bedrock, EC2 instances, and S3 storage, for building, deploying and scaling applications
Expertise setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or Kubernetes/OpenShift pipelines) with background deploying/using Terraform/Ansible
Data engineering experience
Experience with production level LLM Tool Calling workflows
Expert Design and delivery experience in API Development & Integration (REST, GraphQL, etc)
Expertise and strategic use of GenAI Coding Assistants
Excellent communication, collaboration, and cross‑functional stakeholder experience
Understanding of Lockheed Martin’s Business Area(s) - solid understanding of that area’s end‑to‑end business processes and supporting data
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field

Responsibilities

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.
Learn and grow, mentor, and make meaningful contributions to the team's efforts.