Ops AI Engineer Senior (Level 3)

Lockheed Martin • Fort Worth, TX • 2h ago

Description: Ops AI Engineer Senior (Level 3)

The Operations Systems and Modeling AI team at Lockheed Martin Aerospace is seeking a senior data scientist analyst 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, statistical analysis, data governance, and big data processing.

What You Will Be Doing

Lead the end to end development and deployment of AI solutions that support Lockheed?Martin's production operations, ensuring code quality, scalability, and maintainability. Direct statistical analysis and model validation activities to verify performance against operational requirements and drive continuous improvement. Establish and enforce data governance policies-including data lineage, security, and compliance-across large volume production datasets, while designing and optimizing big data pipelines for efficient ingestion, processing, and storage. Collaborate with cross functional teams to gather detailed requirements, translate them into robust solution architectures, and oversee user training and change management efforts to promote seamless adoption and long term sustainability of AI technologies.

What's In It For You: 3 day weekends every weekend!

From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's 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.

Fort Worth, TX

This position is in Fort Worth, TX ? Discover Fort Worth.

Basic Qualifications:

Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML or related field
Proficiency in Python and 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 back-end engineering
Demonstrated expertise in statistical modeling, hypothesis testing, and performance validation of AI models.
Experience with and maintaining CI/CD pipelines

Desired Skills:
Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field
Familiarity with Large Language Models (LLMs) and/or Generative AI (GenAI)
Familiarity with GenAI Coding Assistants
Experience with agentic AI frameworks
Experience in API Development & Integration
Knowledge of cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes).
Experience with data governance frameworks, metadata management, and data catalog tools.
Experience with aircraft manufacturing processes
Strong organization and communication skills
Ability to translate complex operational requirements into scalable AI architectures.
Understanding of agile development methodologies and version control systems (e.g., Git)

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: Possible

Career Area: Artificial Intelligence

Type: Full-Time

Shift: First

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