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Agentic Ai Engineer Jobs in Rochester, MI (NOW HIRING)

AI-Augmented Engineering: Heavily leverage Agentic AI tools and LLM-assisted workflows to ... accelerate development cycles and maintain high code quality. * Incremental and Iterative Delivery:

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly ... Data engineering exposure: pipelines, transformations, data modeling concepts, and working with ...

This role requires programming and statistical techniques to solve complex problems and work within ... Develop new Agentic AI solutions to streamline business process * Ehnance existing model solutions ...

Showing results 41-60

Agentic Ai Engineer information

See Rochester, MI salary details

$35.9K

$93.7K

$126.6K

How much do agentic ai engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for agentic ai engineer in Rochester, MI is $93,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $107,200.00 per year, depending on experience, location, and employer.

What does an agentic AI engineer do?

An agentic AI engineer designs and develops autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and AI frameworks to create systems that can adapt and operate in dynamic environments, often requiring knowledge of programming, data analysis, and AI ethics.
What job categories do people searching Agentic Ai Engineer jobs in Rochester, MI look for? The top searched job categories for Agentic Ai Engineer jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Agentic Ai Engineer jobs? Cities near Rochester, MI with the most Agentic Ai Engineer job openings:
Infographic showing various Agentic Ai Engineer job openings in Rochester, MI as of June 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $93,658 per year, or $45 per hour.

AI Architect (with Azure)-Remote : Contract on w2

Marvel Technologies Inc

Southfield, MI • Remote

$65 - $84.75/hr

Contractor

Re-posted 16 days ago


Job description

Job Title :  AI Architect (with Azure)

Location :   Remote-USA

Duration : Long Term Contract

Contract on w2

Domain- Preferred Insurance.

Experience: 15+ years

Role Overview:

We are seeking a highly skilled AI Azure Architect to lead the architecture and technical strategy for AI programs across insurance and other regulated industries. The AI Architect will own and define reference architectures for Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI, ensuring solutions are scalable, secure, compliant, and deliver measurable business value on AWS cloud/Azure Cloud.

Key Responsibilities:

  • Define end-to-end AI architectures covering ingestion → storage → retrieval → reasoning → action → monitoring.
  • Own and evolve reference architectures for Document AI, Conversational AI, and Agentic AI.
  • Specify non-functional requirements (latency, throughput, privacy, compliance, observability, cost).
  • Select and justify AWS-native AI/ML services (Bedrock, SageMaker, Kendra, OpenSearch, etc.) and third-party tools.

OR

  • Select and justify Azure-native AI/ML Services - Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob Storage, Azure AI Search, Azure Cognitive Services, Service Principals, and Azure Agent (critical for agentic workflows).
  • Govern prompt/version management, enforce safety policies, and manage controls for prompt injection and PII protection.
  • Lead PoCs to production with AWS-based templates and golden paths.
  • Collaborate with stakeholders; mentor engineers; conduct design/code reviews.
  • Establish measurement frameworks (hallucination rate, groundedness, answer quality, CSAT, deflection).
  • Ensure seamless AWS/Azure enterprise integrations with insurance platforms (policy, claims, underwriting).

Required Skills & Experience:

  • 15+ years in AI/ML software, 3–5+ years in solution/enterprise architecture.
  • Proven experience designing AI systems at enterprise scale on AWS/Azure.
  • Hands-on with AWS Bedrock, SageMaker, Lambda, Kendra, OpenSearch, Redshift, DynamoDB, S3.

OR

  • Hands on Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Service Principals, Azure Blob, Azure AI Search, Azure Cognitive Services, and Azure Agent.
  • Expertise in LLMs, vector databases, RAG pipelines, and agentic workflows.
  • Strong multi-cloud cost/latency tradeoff knowledge.
  • Excellent communication, stakeholder engagement, and blueprinting skills.
  • Insurance industry experience strongly preferred (FNOL, claims adjudication, underwriting, billing, policy servicing).