AI Full Stack Engineer (Info Retrieval, mid-career)

Lockheed Martin•Bethesda, MD

1d•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 engineer to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized and accelerated 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 help facilitate training and 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 for information retrieval. 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

Full-stack software development experience
Proven coding/development experience with Python (proficient and can mentor others and review code)
Working knowledge of LLMs and/or Generative AI (knowledge of what they are and how they are used)
Experience with Information Retrieval and Semantic discovery systems
Demonstrated experience with API design and specifications (REST/OpenAPI, JSON/JSON-Schema)
Experience maintaining/managing github/gitlab projects with multiple developers on it
Familiarity and strategic use of GenAI Coding Assistants
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

Nice To Haves

Practical experience with production level LLM Tool Calling workflows
Knowledge of Model Context Protocol
Expertise and strategic use of GenAI Coding Assistants
Experience with agent development using various agentic tools and frameworks
Experience with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle
Experience with cloud platforms (e.g. AWS) deploying applications on cloud-based platforms and containerization (e.g., Docker, Kubernetes)
Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or OpenShift pipelines)
Data engineering experience
Production level Information retrieval and semantic data discovery development experience (e.g. Experience with Vector Databases, k-NN, and Semantic Search)
Proficiency in at least two other languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages
Excellent communication, collaboration, and cross‑functional stakeholder experience
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 for information retrieval
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
Help facilitate training and the exploration of cutting-edge technologies
Mentor and make meaningful contributions to the team's efforts

Benefits

Flexible work schedules
Comprehensive benefits investing in your future and security
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
PTO (at least 10 hours per month for non-represented full-time employees in Washington state)
Vacation (6.67 hours per month for represented full-time employees in Washington state)
Sick leave (up to 52 hours annually for represented full-time employees in Washington state)
Incentive plan eligible