Senior Applied AI Engineer - Engineering Systems

Position: Senior Staff Applied AI Engineer - Engineering Systems
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.

Basic Qualifications:

* 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:

* 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 support

* Familiarity with MBSE tools or structured engineering models

* Experience leading small technical teams or cross-functional efforts

* Understanding of Dev Sec Ops  practices, version control, and agile development

* Awareness of ethical and trustworthy AI principles

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…