Note: The job is a remote job and is open to candidates in USA. Lockheed Martin is seeking an AI Full Stack Engineer to join their Advanced Solutions team within the Data & AI Enablement Org. This role involves developing innovative solutions that support the organization's goals, focusing on AI strategy acceleration and ontology generation for semantic data discovery. The engineer will work closely with a team of experts to architect, deploy, and support enterprise-scaled services.
Responsibilities
- 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
Skills
- 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)
- Proven experience maintaining/managing github/gitlab projects with multiple developers on it
- Experience with strategic use of GenAI Coding Assistants
- 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
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
Company Overview
Lockheed Martin is a global security and aerospace company that specializes in advanced technology systems, products, and services. It is a sub-organization of Lockheed Martin. It was founded in 1912, and is headquartered in Bethesda, Maryland, USA, with a workforce of 10001+ employees. Its website is https://www.lockheedmartin.com.