Generative AI Engineer

Smith Arnold Partners; Detroit (MI); Hybrid; USD 145,000 - 185,000; Full time

Job summary

Smith Arnold Partners seeks a Principal AI Engineer to design and build production Generative AI solutions across a large, global supply chain organization. This hands-on role offers ownership from problem definition through deployment, with visibility across technology and business leadership.

You will work on AI initiatives with direct business impact, building scalable enterprise applications in a high-growth AI organization with strong resources and stability.

Qualifications

• 8+ years of software engineering experience with Generative AI and LLM-based application development.
• Hands-on experience building and deploying AI applications at scale in enterprise environments.
• Strong proficiency with Python, APIs, distributed systems, LLMs, RAG and modern AI frameworks.

Responsibilities

• Build AI applications and copilots across procurement, supplier management, planning, quality, risk, materials management, engineering and supply chain operations.
• Design RAG pipelines across complex enterprise data and develop agentic workflows using LangChain, LlamaIndex, MCP and A2A.
• Ensure production readiness with evaluation, observability, security, guardrails, model routing, latency, performance and cost optimization.

Skills

Generative AI

LLMs

Tools

Python

APIs

AWS

Azure

GCP

Docker

Kubernetes

Terraform

CI/CD

LangChain

LlamaIndex

MCP

A2A

OpenAI

Anthropic

AWS Bedrock

Pinecone

FAISS

Weaviate

Job description

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 design and build production Generative AI solutions across a large, complex global supply chain organization.

This is a hands-on engineering position for someone who has already built and deployed AI applications and wants the opportunity to work on meaningful enterprise use cases at scale. You’ll have considerable ownership over solutions from initial problem definition and architecture through development, deployment and ongoing improvement.

The company is investing heavily in its broader digital transformation, and AI is an important part of that strategy. This is a high-visibility position with significant opportunity to take on additional responsibility and advance as the AI organization continues to grow.

You’ll have the ability to build rather than simply maintain, work on AI initiatives that have direct business impact, and have visibility across technology and business leadership.

This is an established, highly successful company with the resources and stability of a global industry leader, but the AI environment itself is still evolving rapidly.

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 / Supply Chain

Location: Detroit, MI - Hybrid

Salary: $145,000 - $185,000 +Bonus

What you'll be working on

• You’ll build AI applications and copilots across areas such as procurement, supplier management, planning, quality, risk, materials management, engineering and supply chain operation
• The technical work will include Generative AI, Agentic AI, RAG, LLM orchestration, vector search, intelligent automation, conversational analytics and enterprise knowledge search.
• You’ll design RAG pipelines across complex enterprise data, develop agentic workflows using technologies such as LangChain, LlamaIndex, MCP and A2A, and build secure integrations that allow AI agents to retrieve information and interact with enterprise systems.
• This role also goes well beyond prototyping. You’ll be responsible for building AI applications that can operate reliably in production, including evaluation, observability, security, guardrails, model routing, latency, performance and cost optimization.

What they're looking for

• The ideal candidate has 8+ years of software engineering experience and has moved deeply into Generative AI and LLM-based application development while remaining a strong hands-on engineer.
• You should be very comfortable with Python, APIs, distributed systems, LLMs, RAG, vector databases and modern AI frameworks, along with cloud and production engineering technologies such as AWS/Azure/GCP, Docker, Kubernetes, Terraform and CI/CD.
• Experience with OpenAI, Anthropic, AWS Bedrock, Llama, Mistral, Pinecone, FAISS, Weaviate, LangChain or LlamaIndex would be highly relevant.
• They are particularly interested in engineers who understand how to connect AI with real enterprise systems and data—not simply build standalone AI applications.
• Experience with SAP/S4, SAP Ariba, SAP IBP, Ivalua or other ERP and supply chain platforms would be a strong advantage. Supply chain experience across procurement, supplier management, planning, quality, risk, manufacturing or logistics would also be valuable.