AI Research Engineer Stf - Engineering Transformation

Requisition  Eligible?:
Yes

ERP amount: N/ARelocation:
No

Type:
Exempt

Shift: 1

Clearance Prior to Start:
None Final Clearance:
None Pay Transparency: $ - $Experience Level: Experienced Professional FT/PT/Casual:
Full Time Department :
Corporate Headquarters Business Unit:
Corporate Headquarters Standard

Job Description Strategic Product Development within Engineering Transformation is seeking a highly skilled Staff AI/ML Engineer to join a cross-functional team advancing the Engineering Generative AI portfolio.

What You Will Be Doing:

In this role, you will apply modern AI tools and techniques to solve complex Engineering challenges and develop scalable, governed AI capabilities.

This role offers the opportunity to work directly with Engineering organizations and their functional partners to scope opportunities, develop prototypes, and mature validated solutions for enterprise use. Ideally, you will have advanced experience in applied AI and ML, research, development and sustainment of Generative AI applications, and software engineering.

Key Responsibilities will include the following:

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 Dev Sec Ops  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.

Partnering with the AI Portfolio Chief Architect, Engineering Knowledge & Data Integration Architect, Data and AI Enablement, IT Applications, and Engineering Function teams to establish sustainable solutions and integrations.

Further Information About This Opportunity:

This role is fully remote.  US Citizenship is required due to system access.

Basic Qualifications Hands-on experience developing and deploying AI/ML solutions erience 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.

Bachelor's degree in a STEM discipline, such as Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Data Science, or a related field.

US Citizenship is required due to system access

Desired Skills Experience designing and implementing AI agents, planning or search approaches, tool-use APIs, multi-agent systems, or agentic workflows.

Experience with frameworks supporting AI agent orchestration, such as Lang Graph, CrewAI, Auto Gen, or Llama Index.

Experience implementing RAG, hybrid retrieval, semantic chunking, GraphRAG, knowledge graphs, or vector search.

Experience…