Principal Engineer – Hybrid

We are working with an award-winning global manufacturing and technology company that is making a significant investment in AI as part of a major digital transformation.
They are looking for a Principal AI Engineer to play a key role in defining and building how Generative AI and Agentic AI are used across a large, complex engineering and R&D organization.
This is a highly visible position for someone who combines strong hands-on AI engineering experience with an architectural mindset. You’ll have significant influence over technology decisions and will help take AI initiatives from concept and architecture through production implementation.
The work will include Agentic AI, RAG, LLM orchestration, engineering copilots, intelligent automation, semantic search, conversational AI and knowledge discovery, along with the architecture required to support these capabilities at enterprise scale.
There are some very interesting engineering use cases ahead, including AI-assisted software development, requirements and specification analysis, test generation, simulation support, large-scale log analysis and making complex engineering knowledge more accessible.

Principal AI Engineer – Generative AI & Agentic AI

What People are saying about this company:
“Great place to work! Work culture is fantastic! Top notch leadership team, Innovative and cutting-edge environment ”
“Benefits are excellent”
“Your growth is in your hands”

Title: Principal AI Engineer – Generative AI & Agentic AI
Location: Detroit, MI – Hybrid
Salary: $145,000 -184,000 + Bonus

What they’re looking for

This is a Principal-level role, and they need someone who can go deep technically while also looking at the bigger picture.
You should have strong experience with Generative AI, LLMs, RAG, agentic architectures, Python, APIs, embeddings, vector databases and cloud-based AI platforms. Experience with technologies such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, MCP, AWS Bedrock, Azure OpenAI, OpenAI or Anthropic would be highly relevant.

Automotive industry experience is required. A background working with automotive software, embedded systems, engineering/R&D platforms, ASPICE, Functional Safety, testing, requirements management or similar engineering environments would be particularly valuable.
The company is stable, growing and recognized as a leader in its industry, but it is also going through a substantial technology transformation.
That creates a good opportunity for someone joining now. The AI environment is still being built, and this person will have the ability to influence the architecture, evaluate new technologies, establish standards and help determine how AI is deployed across the engineering organization.
This is also a role with strong visibility and real opportunity for advancement. The company is looking for someone who can become an important technical leader and take on broader responsibility as its AI capabilities continue to grow.