Description: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.
Basic Qualifications:
- 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)
Desired Skills:
- 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
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Other Important Information You Should Know
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position: 4x10 hour day, 3 days off per week
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level: Experienced Professional
Business Unit: AERONAUTICS COMPANY
Relocation Available: Yes
Career Area: Manufacturing
Type: Full-Time
Shift: First