AI Full Stack Engineer – Agentic Systems & Ontology
Lockheed Martin · Texas, United States
- On site
- Full-time
- $120,000 / year
- Texas, United States
Job highlights
- Develop innovative AI solutions using Python and JavaScript.
- Design and integrate knowledge graphs and ontologies.
- Work with LLMs, Generative AI, and cloud infrastructure.
- Architect, deploy, and support enterprise-scaled services.
- Collaborate with AI and software engineering experts.
About the role
AI Full Stack Engineer – Agentic Systems & Ontology
Lockheed Martin is undergoing a digital transformation, accelerating change by 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. This portfolio focuses on standardized agentic development and ontology generation, enabling semantic data discovery, reasoning, and information retrieval. We provide solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division and engage in experimental work for exploring cutting-edge technologies. We foster a culture of innovation and seek individuals passionate about using technology for positive change.
What You Will Be Doing
In this role, you will collaborate closely with experts in AI, software engineering, and systems development to create innovative solutions that support organizational goals. You will develop solutions for data-driven decision-making and architect, deploy, and support enterprise-scaled services on cloud and on-premise technologies. This position offers a unique opportunity for learning, growth, mentorship, and making significant contributions to the team's efforts.
Who You Are
You are a motivated and enthusiastic AI/ML engineer or full-stack developer with a strong foundation in software engineering, systems development, cloud infrastructure, and AI technologies. You possess a growth mindset, are curious about new technologies, and are committed to continuous learning and staying current with industry trends. You are a collaborative team player, adaptable, willing to learn and mentor junior engineers, and capable of navigating complex technical challenges independently with general guidance. You are looking to build your skills and experience in a dynamic, fast-paced environment.
Key Qualifications
- Proven full-stack software development experience with advanced Python, 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, managing 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 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.
- Experience with strategic use of GenAI Coding Assistants.
Desired Skills
- Experience designing and validating knowledge graphs (KG) based on ontologies and integrating graph data into applications. Familiarity with KG adjacent tools and technologies (e.g., RDF, OWL, SPARQL, 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, S3 storage) for building, deploying, and scaling applications.
- Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or Kubernetes/OpenShift pipelines) with a 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.
Other Important Information
By applying to this job, you express interest in this position and may be considered for other career opportunities where similar skills and requirements are identified. You may be contacted for this and future openings.
Key skills/competency
- AI Full Stack Engineer
- Python
- JavaScript Frameworks
- Knowledge Graphs
- Ontologies
- Generative AI (GenAI)
- LLMs
- Cloud Infrastructure
- API Design
- GitOps
Skills & topics
- AI Full Stack Engineer
- Python
- JavaScript
- React.js
- Angular
- Generative AI
- LLMs
- Knowledge Graphs
- Ontology
- Cloud Infrastructure
- GitOps
- API Design
- Software Engineering
- Agentic Systems
- AWS
How to get hired
- Tailor your resume: Highlight advanced Python, JavaScript frameworks, knowledge graph, and GenAI experience relevant to AI Full Stack Engineer roles.
- Showcase AI/ML expertise: Detail your experience with LLMs, ontologies, and full-stack development in your application.
- Quantify achievements: Use metrics to demonstrate impact in previous software development and AI projects.
- Prepare for technical interviews: Be ready to discuss Python coding, API design, graph databases, and cloud deployments.
- Research Lockheed Martin: Understand their AI initiatives and digital transformation goals to align your application.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific AI technologies are emphasized for the AI Full Stack Engineer role at Lockheed Martin?
- The AI Full Stack Engineer role at Lockheed Martin emphasizes Generative AI (GenAI), Large Language Models (LLMs), and the development of agentic systems. Experience with knowledge graphs, ontologies, and integrating AI capabilities into applications is also crucial. Proficiency in Python, modern JavaScript frameworks, and cloud infrastructure is expected.
- Is US Citizenship a strict requirement for the AI Full Stack Engineer position?
- Yes, US Citizenship is a strict requirement for this AI Full Stack Engineer position due to program requirements and system access at Lockheed Martin.
- What programming languages are essential for the AI Full Stack Engineer at Lockheed Martin?
- Advanced Python is essential, with proficiency expected to the point of mentoring and code review. Additionally, proficiency in at least two other programming languages such as Java, C++, or Go is required, alongside modern JavaScript frameworks like React.js or Angular.
- Can candidates with strong full-stack experience but looking to transition into AI apply for this AI Full Stack Engineer role?
- Yes, Lockheed Martin welcomes accomplished full-stack engineers looking to grow into an AI/ML engineer role. The description specifically mentions seeking candidates with a solid foundation in software engineering, systems development, cloud infrastructure, and AI technologies, indicating a willingness to train and develop talent in AI.
- What is the work arrangement for the AI Full Stack Engineer position at Lockheed Martin?
- The AI Full Stack Engineer position at Lockheed Martin is a full-time remote telework role. The selected employee will work remotely full-time, with potential for periodic travel to a Lockheed Martin office for meetings.
- What level of experience is expected with Cloud Infrastructure for this AI Full Stack Engineer role?
- Experience with Cloud Infrastructure, specifically with GitOps practices, is required. Desired skills include 5+ years of hands-on experience with AWS services like Amazon RDS PostgreSQL, Amazon Bedrock, EC2 instances, and S3 storage for building, deploying, and scaling applications.
- Does Lockheed Martin provide opportunities for mentorship or learning new AI technologies in this AI Full Stack Engineer role?
- Yes, this AI Full Stack Engineer role provides opportunities to learn and grow, mentor junior engineers, and experiment with cutting-edge technologies. The team focuses on AI Strategy Acceleration and fosters a culture of innovation, making it an ideal environment for professional development in AI and software engineering.