ZipRecruiter

Log In

1

Senior Generative Ai Engineer Jobs in Michigan (NOW HIRING)

KLA

Senior Full Stack AI Engineer

Ann Arbor, MI · On-site

Hands-on experience with LLMs, agent-based systems, or generative AI applications * Familiarity ... Experience serving as a technical lead or senior engineer on a team * Proven ability to mentor and ...

Stellantis

AI & Automation Engineer

Auburn Hills, MI · On-site

Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI ... Build and implement AI-enabled solutions including generative AI use cases for requirements ...

Deloitte

Senior Forward Deployed Engineer- AWS

Detroit, MI · On-site

$103K - $142K/yr

... Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

CSAA

... emerging Generative AI technologies. You will partner with Data Engineering, Data Science ... Serve as a senior escalation point for complex production issues involving AI platforms, machine ...

Corning

Guide AI Engineers and Senior AI Engineers across multiple AI initiatives, helping ensure quality, scalability, and supportability. Partner with business and technical stakeholders to translate ...

Corning

As a Senior AI Engineer - Cybersecurity , you will design, build, and deploy AI-powered solutions that support Corning's Cybersecurity Incident Response Team. This role is focused on developing LLM ...

Stellantis

AI Application Engineer

Auburn Hills, MI · On-site

As the AI Application Engineer, you'll design and build production-grade user interfaces and ... Familiarity with LLMs, generative AI, AI agents, model outputs, RAG, or AI recommendation workflows

Deloitte

Senior AI Engineer - SFL Scientific

Detroit, MI · On-site

$103K - $142K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Relativity

Software Engineer

Detroit, MI · On-site

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

previous page

Showing results 41-60

All JobsGenerative Ai Engineer JobsSenior Generative Ai Engineer JobsSenior Generative Ai Engineer Jobs in Michigan

Senior Generative Ai Engineer information

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What are the key skills and qualifications needed to thrive as a senior generative AI engineer, and why are they important?

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

What is the difference between Senior Generative Ai Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Michigan?

The most popular types of Generative Ai Engineer jobs in Michigan are:

What are popular job titles related to Senior Generative Ai Engineer jobs in Michigan?

For Senior Generative Ai Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Senior Generative Ai Engineer jobs in Michigan look for?

The top searched job categories for Senior Generative Ai Engineer jobs in Michigan are:

What cities in Michigan are hiring for Senior Generative Ai Engineer jobs?

Cities in Michigan with the most Senior Generative Ai Engineer job openings:

Senior Generative Ai Engineer jobs near you
Infographic showing various Senior Generative Ai Engineer job openings in Michigan as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, 5% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Senior Azure AI Foundry Engineer

Interon IT Solutions

Detroit, MI • On-site

$59.50 - $77.25/hr

Contractor

Re-posted 12 days ago

Job description

Job Title: Azure AI Foundry Engineer

Location: Lansing/Detroit, Michigan (Hybrid)

Client: Cognizant

Employment Type: W2

Experience: 8+ Years


Job Description:

We are seeking an experienced Azure AI Foundry Engineer to design, develop, and deploy enterprise-grade generative AI solutions on the Microsoft Azure platform. The ideal candidate should have strong experience with Azure AI Foundry, Azure OpenAI, Retrieval-Augmented Generation, AI agents, Python, and cloud-native application development.


Key Responsibilities

Design and develop generative AI applications using Azure AI Foundry and Azure OpenAI.
Build Retrieval-Augmented Generation solutions using Azure AI Search, vector databases, embeddings, and enterprise data sources.

Develop AI agents capable of interacting with APIs, databases, documents, and other business systems.

Design prompt workflows, system instructions, tool-calling processes, and multi-step agent workflows.

Develop backend AI services and APIs using Python, FastAPI, Flask, or similar frameworks.
Integrate structured and unstructured data from Azure Data Lake, Blob Storage, SQL databases, SharePoint, and enterprise applications.

Implement document ingestion, chunking, embedding, indexing, retrieval, and response-generation pipelines.

Evaluate AI applications for response accuracy, relevance, groundedness, safety, latency, and overall performance.

Implement responsible AI controls, content filtering, prompt-injection protection, access controls, and data-security standards.

Monitor AI applications using Azure Monitor, Application Insights, logging, tracing, and Foundry observability capabilities.

Deploy and manage AI solutions using Azure Functions, Azure App Service, Azure Container Apps, AKS, or similar Azure services.

Build automated CI/CD pipelines using Azure DevOps or GitHub Actions.

Collaborate with data engineers, data scientists, architects, business analysts, and product teams.

Troubleshoot issues related to model responses, data retrieval, integrations, application performance, and cloud deployment.

Prepare technical design documents, architecture diagrams, deployment guides, and operational documentation.


Required Skills

6+ years of overall software engineering, data engineering, cloud, or AI development experience.
Strong hands-on experience with Azure AI Foundry or Microsoft Foundry.

Experience with Azure OpenAI models, embeddings, chat completions, and model deployments.
Strong experience developing RAG-based applications.

Hands-on experience with Azure AI Search, vector search, semantic search, and hybrid search.
Strong programming experience with Python.

Experience developing REST APIs using FastAPI, Flask, or similar frameworks.

Experience with prompt engineering, function calling, tool calling, and AI agent development.
Understanding of LLM evaluation, hallucination reduction, groundedness, responsible AI, and content safety.

Experience with Azure services such as Blob Storage, Data Lake, Key Vault, Functions, App Service, Container Apps, AKS, and Application Insights.

Experience working with SQL, NoSQL, document databases, or vector databases.

Experience with Git, Azure DevOps, GitHub Actions, Docker, and CI/CD processes.