Staff AI Research Engineer, Generative AI - Remote

Lockheed Martin Corporation

Orlando (FL)

Remote

USD 121,000 - 224,000

Full time

2 hours ago

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Benefits offered by this job

Medical, Dental, Vision

Flexible work arrangements

401(k) match

PTO & Holidays

Parental Leave

Job summary

Lockheed Martin Corporation is seeking a Staff AI Research Engineer to advance the Engineering Generative AI portfolio and apply modern AI tools to solve complex engineering challenges. You will develop scalable, governed AI capabilities and work with cross-functional teams to scope opportunities, prototype solutions, and mature enterprise-grade deployments.

This fully remote role emphasizes responsible AI, cybersecurity, and DevSecOps, with a focus on production-grade AI applications for the

Qualifications

Hands-on experience developing and deploying AI/ML solutions at scale.
Experience with AI/ML programming languages, such as Python or C++, and software engineering practices for production applications.
Hands-on experience developing, fine-tuning, integrating, or deploying large language models and Generative AI applications.
Demonstrated expertise in prompt engineering, including designing, testing, and optimizing prompts for reliability, safety, and performance.
Experience deploying or hosting AI solutions and applications in production environments.
US Citizenship is required due to system access.

Responsibilities

Working with Engineering users and cross-functional teams to identify high-value AI opportunities and translate workflows into technical requirements and deployable solutions.
Researching, developing, testing, deploying, and sustaining Generative AI, AI/ML, and agentic applications that improve Engineering ways of working.
Designing and implementing AI algorithms, applications, and services, including LLM-based retrieval, tool use, orchestration, and decision-support workflows.
Building and optimizing full-stack AI solutions, including user experiences, APIs, backend services, data connections, model integrations, and deployment pipelines.
Developing prototypes using approved AI-assisted development tools and mature successful capabilities into secure, tested, documented, enterprise-deployable solutions.
Applying Responsible AI Governance and Ethics (RAGE), cybersecurity, architecture, and DevSecOps requirements throughout development, testing, deployment, and sustainment.
Evaluating solution performance, reliability, safety, and user value through AI evaluation, automated testing, regression testing, monitoring, and user feedback.