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Generative Ai Project Manager Jobs in Detroit, MI

AI Specialist

Pontiac, MI · On-site

$60 - $65/hr

... projects. * Drive AI education, adoption, and change management efforts. * Evaluate emerging AI ... Generative AI: Copilot, LLMs, RAG, Enterprise AI Platforms * Big Data: Apache Spark, Databricks

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

You will take ownership of your projects from the initial design phase through to deployment and ... Build and integrate Generative AI solutions using Large Language Models (LLMs). Develop AI agents ...

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

... MLOps / Generative AI - LLM tasks, focusing on Mach1ML adoption and AI/ML democratization. Skills Required: * Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine ...

Solid understanding of AI/ML algorithms, data science principles, and the end-to-end Machine ... Project Management. * Technical Oversight. * AI/ML Algorithms. * Data Science Principles. * Enovia ...

... generative AI products. These systems enable secure and scalable access to foundation models across ... Contribute to building systems that route and manage AI traffic efficiently while maintaining ...

Sr AI Platform Engineer

Dearborn, MI · On-site

$51 - $65.50/hr

... state management capabilities. * Develop intelligent applications, cognitive services, and AI ... Generative AI * Agentic AI Frameworks * Retrieval-Augmented Generation (RAG) * SQL * REST APIs

... managing technology initiatives, digital transformation programs, or enterprise software projects. * Hands-on experience with generative AI platforms such as Microsoft Copilot, ChatGPT, Claude, or ...

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... As an Associate, you will focus on learning and contributing to projects while developing your ...

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

... generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best ... Develop and manage data architectures, including data lakes, data warehouses, and vector databases ...

Java Developer

Dearborn, MI · On-site

$47 - $60.75/hr

Key ResponsibilitiesLead and manage cloud migration projects from initiation through completion ... Familiarity with Generative AI frameworks and tools such as LangChain, OpenAI or Azure OpenAI APIs ...

Showing results 21-40

Generative Ai Project Manager information

See Detroit, MI salary details

$38.1K

$101.7K

$160.4K

How much do generative ai project manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for generative ai project manager in Detroit, MI is $101,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $121,800.00 per year, depending on experience, location, and employer.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What are popular job titles related to Generative Ai Project Manager jobs in Detroit, MI?

For Generative Ai Project Manager jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Generative Ai Project Manager jobs in Detroit, MI look for?

The top searched job categories for Generative Ai Project Manager jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Generative Ai Project Manager jobs?

Cities near Detroit, MI with the most Generative Ai Project Manager job openings:

Infographic showing various Generative Ai Project Manager job openings in Detroit, MI as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $101,651 per year, or $48.9 per hour.

Agentic AI Engineer, Senior - Anthropic/Claude

Deloitte

Detroit, MI

$103K - $142K/yr

Full-time

Posted 12 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 09/30/2026.

Work you'll do

As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.

  • Manage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream
  • Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude Agent SDK and Claude Cowork
  • Manage and deliver components of client engagements spanning solution design, prototyping, testing, and production rollout
  • Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout
  • Develop and maintain project scope, schedule, and resource plans for your workstream, and adjust them as engagement needs evolve
  • Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery
  • Manage changes to scope, schedule, and cost in line with the engagement's change management process
  • Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery
  • Maintain clear, consistent communication with client stakeholders and internal engagement leadership

You'll be deployed onto client engagements that typically involve one or more of the following:

  • Designing and building agentic AI solutions powered by Claude, from proof-of-concept through production deployment
  • Implementing multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails
  • Modernizing existing AI/ML or data platforms to incorporate Generative AI capabilities, including retrieval-augmented generation and agent-based orchestration
  • Advising clients on Generative AI adoption strategy, responsible AI practices, and model/platform selection
  • Partnering directly with client technology, data, and business stakeholders to scope and deliver AI solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 4+ years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems
  • 2+ years of hands-on experience developing AI/ML applications in Python
  • At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
  • At least 1 year of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations
  • At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models through the native Anthropic API or a supported cloud platform
  • At least 1 year of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve the performance, reliability, and usability of AI solutions
  • 1+ years of experience leading project workstreams or engagements, translating business problems into AI solutions, and delivering measurable outcomes
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience in consulting or other client-facing delivery roles
  • Experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases
  • Hands-on experience using Claude through one or more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic API
  • Experience with multi-agent systems, MCP integrations, agent evaluation, observability, safety controls, or production governance
  • Certifications such as Claude Certified Architect - Professional (CCAR-P), Claude Certified Architect - Foundations (CCAR-F), or Claude Certified Developer - Foundations (CCDV-F)
  • Cloud certification(s) - AWS, Azure, or Google Cloud
  • Experience creating client workshop collateral and leading interactive working sessions
  • Experience presenting technical content to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 09/30/2026.

Work you'll do

As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements.

  • Manage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstream
  • Design and build Generative AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based integrations, using the Claude Agent SDK and Claude Cowork
  • Manage and deliver components of client engagements spanning solution design, prototyping, testing, and production rollout
  • Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout
  • Develop and maintain project scope, schedule, and resource plans for your workstream, and adjust them as engagement needs evolve
  • Monitor progress against plan, identify variances, and drive corrective action before issues affect delivery
  • Manage changes to scope, schedule, and cost in line with the engagement's change management process
  • Identify risks, assumptions, and constraints early, and implement approved mitigations to protect delivery
  • Maintain clear, consistent communication with client stakeholders and internal engagement leadership

You'll be deployed onto client engagements that typically involve one or more of the following:

  • Designing and building agentic AI solutions powered by Claude, from proof-of-concept through production deployment
  • Implementing multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails
  • Modernizing existing AI/ML or data platforms to incorporate Generative AI capabilities, including retrieval-augmented generation and agent-based orchestration
  • Advising clients on Generative AI adoption strategy, responsible AI practices, and model/platform selection
  • Partnering directly with client technology, data, and business stakeholders to scope and deliver AI solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships 
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor 
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 4+ years of experience designing, developing, and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems
  • 2+ years of hands-on experience developing AI/ML applications in Python
  • At least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controls
  • At least 1 year of hands-on experience developing agentic AI solutions using the Claude Agent SDK, including agent orchestration, tool integration, permissions, or MCP integrations
  • At least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models through the native Anthropic API or a supported cloud platform
  • At least 1 year of experience applying prompt engineering, context engineering, structured outputs, and related techniques to improve the performance, reliability, and usability of AI solutions
  • 1+ years of experience leading project workstreams or engagements, translating business problems into AI solutions, and delivering measurable outcomes
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or a related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience in consulting or other client-facing delivery roles
  • Experience using Claude Cowork to support enterprise workflows, automation, research, or other knowledge-work use cases
  • Hands-on experience using Claude through one or more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the n...

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