Operation AI Engineer (Level 2)

Who You Are
The Operations Systems and Modeling AI team at Lockheed Martin Aerospace is seeking an Operations AI Engineer (Level 2) who will play a key role in developing, deploying, and maintaining AI-based solutions tailored for production operations. This position focuses on applying advanced artificial intelligence techniques to solve complex operational challenges, delivering impactful results that enhance efficiency and drive productivity. This position will be responsible for overseeing development and deployment of AI solutions, big data analysis, and front-end development for AI and results based applications.

What You Will Be Doing
- Assist in the development and testing of AI applications that support productionoperations use cases.
- Collaborate with senior engineers to apply sound softwaredevelopment practices that promote code quality and scalability.
- Participate in gathering and documenting requirements from production teams, translating key operational challenges into functional specifications.
- Contribute to frontend development efforts, building intuitive user interfaces that enable end-users to interact with AIdriven tools effectively.
- Perform data extraction, cleaning, and exploratory analysis on largevolume production datasets to support model training and performance monitoring.
- Help deploy AI solutions in pilot environments, provide basic user training, and gather feedback to drive incremental improvements.
- Support changemanagement activities by communicating updates to endusers and ensuring that the tools remain maintainable, adaptable, and aligned with future operation needs.

This role involves directly interfacing with technical and non-technical users to truly understand their needs and then rapidly iterating to develop an application that they will love to use.

Whats In It For You:
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martins comprehensive benefits package here.

Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

Further Information About This Opportunity

MUST BE A U.S. CITIZEN -This position is located at a facility that requiresspecial access. The selected candidate must be able to obtain a secretclearance.

This position is in Fort Worth, TX Discover Fort Worth. - Bachelors degree in Computer Science, Software Engineering, AI/ML Engineering or a related technical field

- A basic understanding of relational databases and database management

- Proficiency in Python and foundational machine learning concepts, with the ability to independently develop, train, and evaluate models leveraging libraries such as TensorFlow and PyTorch

- Experience developing full stack web apps using modern frameworks, with additional hands-on exposure to CI/CD pipelines

- Familiarity with Large Language Models (LLMs) and/or Generative AI (GenAI)- Able to build Python-based ETL pipelines to integrate and process data across systems

- Familiarity with GenAI Coding Assistants

- Experience with agentic AI frameworks

- Experience in API Development & Integration

- Experience with cloud-based platforms and containerization (e.g., Docker, Kubernetes)

- Understanding of agile development methodologies and version control systems (e.g., Git)

- Experience interfacing with database architectures such as PostgreSQL or MySQL

- Strong organization and communication skills, able to listen effectively

- Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field

- Familiarity with MSSQL database design and optimization

- Experience with Git version control and collaborative development workflows

- Experience in software development, with a focus on front-end engineering

- Experience working in the product development lifecycle (architecture, design, development, testing, and maintenance)

- Experience with aircraft manufacturing processes