Senior Applied AI Engineer - Engineering Systems

Position: Senior Staff Applied AI Engineer - Engineering Systems
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* Description:

** What if your work could help prevent conflict, by making our capabilities so advanced, no one dares to challenge them?

We are the Aero Artificial Intelligence team at Lockheed Martin Aeronautics, building and deploying trusted AI that strengthens deterrence, improves engineering rigor, and advances global security

This role is for a senior, hands on AI professional who operates with high independence and technical ownership  You will design and deliver AI systems that improve how complex aerospace systems are engineered, integrated, tested, and sustained

Understanding aerospace systems engineering is valuable, but deep AI expertise and autonomous execution are paramount

Job Description

The Senior Applied AI Engineer   Engineering Systems is responsible for independently framing, architecting, and delivering AI enabled solutions that improve systems engineering effectiveness, safety, and efficiency across the engineering lifecycle

This role operates as a technical authority within the scope of AI projects, leading end to end development from problem definition through deployment  The engineer partners closely with systems engineering, integration and test, and program stakeholders, translating ambiguous engineering challenges into impactful AI solutions

The position is functionally aligned within Aero AI and supports multiple programs and engineering organizations, enabling scalable AI adoption across the enterprise

Key Responsibilities Include

 Independently define AI solution approaches for complex engineering and systems level problems

 Design, develop, and deploy end to end AI/ML solutions from data ingestion through operational use

 Build AI enabled tools supporting requirements analysis, system validation, test planning, and traceability

 Apply predictive modeling, simulation, and analytics to improve digital twin alignment and performance estimation

 Partner with systems engineering, integration and test, and sustainment teams to identify high value AI use cases

 Lead small, cross functional project teams to execute AI pilots and scaled deployments

 Translate engineering workflows and constraints into robust AI system architectures

 Improve safety, efficiency, and engineering rigor through AI augmented process optimization

 Support integration and test organizations with AI enabled scenario generation, anomaly detection, and data analysis

 Ensure AI solutions align with ethical, cybersecurity, and operational constraints

 Contribute to technical roadmaps and best practices for enterprise AI adoption

** What's 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 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

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* Basic Qualifications:

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* Demonstrated experience applying AI/ML to real world engineering or scientific problems

 Strong proficiency in Python and modern ML frameworks  e g , PyTorch, Tensor Flow, scikit learn

 Experience designing and delivering AI systems end to end with minimal oversight

 Background in systems thinking, model based engineering concepts, or digital thread workflows

 Bachelor's or Master's degree in Engineering, Computer Science, Systems Engineering, or a related field

 Ability to operate independently, frame ambiguous problems, and drive technical execution

** Desired

Skills:

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* Experience applying AI to systems integration, test, or validation workflows

 Familiarity with digital twin concepts, simulation environments, or performance modeling

 Experience collaborating across systems engineering and sustainment organizations

 Exposure to aerospace or safety critical engineering environments

 Experience applying AI for process optimization, anomaly detection, or decision…