Ops Web App/AI Engineer-Manufacturing Digital Transformation - Level 2

Lockheed Martin•Fort Worth, TX

1d•Onsite

About The Position

Lockheed Martin Aeronautics is seeking an Ops Web App/AI Engineer (Level 2) for Manufacturing Digital Transformation. This role involves rapidly developing and deploying digital transformation solutions in the manufacturing environment. Building aircraft requires the cooperation of hundreds of individuals and complex production systems. With digital transformation coming to Lockheed Martin, your role will be to use AI based tools and solutions to develop software applications. 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. In this role you will: 1. Develop, test, deploy and support AI applications that enable production operations use cases 2. Perform data extraction, cleaning, and exploratory analysis on large volume production datasets to support model training and performance monitoring. 3. Create real-time dashboards and data visualizations that enable leadership and floor supervisors to make informed decisions. 4. Build full-stack web applications to streamline data collection and management across production systems. 5. Design data pipelines and database solutions to integrate manufacturing systems and automate workflow processes. 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. Must be a US Citizen. This position is located at a facility that requires special access.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, AI/ML Engineering or a related technical field.
A basic understanding of relational databases and database management.
Hands-on experience with Python, JavaScript or TypeScript, Java or C#, and foundational skills in modern web development frameworks.
Experience developing full stack web apps using Angular and .Net API, with additional hands-on exposure to CI/CD pipelines.
Familiarity with Large Language Models (LLMs) and/or Generative AI (GenAI)

Nice To Haves

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.
Proficiency in foundational machine learning concepts, with the ability to independently develop, train, and evaluate models.
Experience in developing, training, and deploying deep learning models using machine learning frameworks like TensorFlow and PyTorch.
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

Responsibilities

Develop, test, deploy and support AI applications that enable production operations use cases
Perform data extraction, cleaning, and exploratory analysis on large volume production datasets to support model training and performance monitoring.
Create real-time dashboards and data visualizations that enable leadership and floor supervisors to make informed decisions.
Build full-stack web applications to streamline data collection and management across production systems.
Design data pipelines and database solutions to integrate manufacturing systems and automate workflow processes.