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Ai In Jobs in Michigan (NOW HIRING)

Kla

Senior AI Infrastructure Engineer

Ann Arbor, MI

$105K - $180K/yr

Company Overview KLA is a global leader in diversified electronics for the semiconductor ... This is your opportunity to shape the future of AI in the semiconductor industry! We're looking for ...

RHP Staffing

Corporate- AI Engineer

Farmington, MI · On-site +1

Headquartered in Farmington Hills, Michigan, RHP Properties is the nation's largest private owner ... AI Solution Development * Design, build and deploy AI agents and copilots (chat, voice, email ...

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Ai In information

What is an AI Engineer?

An AI Engineer is a professional who designs, develops, and implements artificial intelligence systems and applications. They use machine learning algorithms, deep learning frameworks, and data analysis techniques to create intelligent solutions that can perform tasks such as image recognition, natural language processing, and decision-making. AI Engineers often collaborate with data scientists and software developers to build models, train AI systems, and deploy them in real-world environments. Their work is crucial in advancing automation and making technology smarter across various industries.

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What job makes $10,000 a month without a degree?

In the field of AI, roles such as AI consultant, machine learning engineer, or data scientist can potentially earn $10,000 or more per month, especially with specialized skills, experience, and certifications. These positions often require strong programming knowledge, understanding of AI tools, and sometimes a background in mathematics or statistics, but they do not always require a formal degree if demonstrated expertise is available.

What are the key skills and qualifications needed to thrive as an AI Engineer, and why are they important?

To thrive as an AI Engineer, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and typically a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with data modeling, and sometimes certifications in AI or data science are highly valued. Critical thinking, creativity, and effective communication help AI Engineers collaborate on complex projects and translate technical concepts for diverse audiences. These skills and qualities are crucial for developing innovative, reliable AI solutions that address real-world challenges.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand and specialized expertise in the AI industry.

Which 3 jobs will survive AI?

AI In roles such as data analysts, AI specialists, and cybersecurity professionals are likely to persist because they require complex problem-solving, creativity, and human oversight. These jobs involve tasks that are difficult to fully automate, especially those requiring critical thinking, ethical judgment, and interpersonal skills.

How is AI being used in jobs?

AI is used in jobs to automate repetitive tasks, analyze large data sets, and improve decision-making processes. Roles such as AI specialists, data analysts, and machine learning engineers often require knowledge of programming languages like Python and familiarity with AI tools and frameworks. This technology enhances productivity and enables new capabilities across various industries.

What are some common challenges AI Engineers face when integrating artificial intelligence solutions into existing business systems?

AI Engineers often encounter challenges such as ensuring compatibility between new AI models and legacy systems, managing data quality and availability, and addressing scalability concerns. Effective communication with cross-functional teams, including data scientists, IT, and business stakeholders, is essential to understand requirements and mitigate potential roadblocks. Additionally, AI Engineers must balance innovation with ethical considerations and compliance, making it crucial to stay updated on industry standards and best practices.
What are popular job titles related to Ai In jobs in Michigan? For Ai In jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai In jobs in Michigan look for? The top searched job categories for Ai In jobs in Michigan are:
What cities in Michigan are hiring for Ai In jobs? Cities in Michigan with the most Ai In job openings:
Ai In jobs near you
Infographic showing various Ai In job openings in Michigan as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Director, Enterprise AI Enablement

Crain

Detroit, MI

Full-time

Retirement

Posted 9 days ago

Job description

Description

Crain Communications is already well into its AI journey. We've built our own RAG-based product for customers, developed internal AI tools across multiple departments, and have people throughout the business building new things every day. AI is not new here; it's already woven into how we work.

What we need now is intentionality. Things are moving fast and the opportunity is real, but to scale this across the whole company we need to formalize AI enablement as a function, move from individual experimentation in silos to cohesive, structured execution, and ensure we're doing this with clear guardrails, consistent processes, and a deliberate strategy for where we go next. The goal is bigger than efficiency gains. We're building toward a version of Crain that actually understands itself, where decisions, knowledge, workflows, and institutional memory are captured, connected, and made continuously available to inform how we work and where we're headed.

That's what this role is. The Director, Enterprise AI Enablement will approach this work with a consultative mindset, embedding with teams across the business to understand their world before prescribing solutions. They will own identifying where AI can have the most impact by engaging directly with people throughout the business and distilling that into clear opportunities; setting the policy and guardrails that ensure we're adopting AI in a safe and thoughtful way; and educating the workforce and driving real, lasting adoption across the whole company. This role will have at least one direct report from the start, with the expectation that the team will grow as the function matures.

You'll work across Editorial, Sales, Marketing, HR, Finance, Technology, and Product to find where knowledge is siloed, where decisions are slowed by friction, and where the right AI tooling can unlock real capability. Then you'll build it, sometimes hands-on, sometimes by working through and alongside the teams closest to the problem.

Key responsibilities:

  • Bring a consultative approach to every engagement, taking the time to understand a team's workflows, challenges, and goals before identifying where AI can make a real difference
  • Partner with leaders across all major functions to surface workflow friction, knowledge gaps, and high-value opportunities where AI tools or training can make a meaningful difference
  • Own and drive the enterprise AI enablement roadmap, scoping, prioritizing, and executing a portfolio of initiatives from discovery through adoption and measurement
  • Define and maintain company-wide AI policy and guardrails, ensuring Crain is adopting AI in a way that is responsible, secure, and aligned with our values and obligations
  • Lead the effort to capture and centralize Crain's institutional knowledge (decisions, processes, data, and expertise) into AI-powered knowledge bases that make the whole organization smarter: HR resources, customer research, sales and marketing materials, process documentation, and more
  • Partner with IT Services on the company-wide rollout of Claude Enterprise, driving adoption and ensuring teams are set up to get real value from the platform within our Microsoft 365 environment
  • Identify and implement agentic workflows and automation that reduce manual overhead across key business functions
  • Build a structured approach to connecting Crain's core data sources (Naviga, Salesforce, ArcXP, Smartsheet, Fireflies, AWS, and others) as inputs into a coherent, AI-accessible model of how the business operates
  • Implement and manage a company-wide AI micro-learning platform, rolling it out in deliberate phases starting where it will have the most impact, tracking adoption and outcomes at each stage to learn, iterate, and expand intelligently across the organization
  • Stay close to advancements in the AI space, continuously evaluating new tools, models, and capabilities; find regular, structured ways to surface and communicate relevant opportunities to stakeholders across Crain so we're always making informed decisions about what to explore, pilot, or adopt
  • Maintain a clear focus on cost efficiency and ROI across all AI initiatives; every tool evaluated, every workflow built, and every platform adopted should be held to a standard of delivering measurable value for the business

What you'll bring:

  • A consultative mindset; you listen before you prescribe, ask the right questions, and earn trust by understanding people's work before trying to change it
  • Hands-on experience implementing AI tools and workflows inside an organization; you've actually done this, not just theorized about it
  • Deep familiarity with Claude and the Anthropic ecosystem, including how to get the most out of it in an enterprise context
  • Practical experience designing and deploying agentic workflows; you understand how to connect systems, automate multi-step processes, and build solutions that run with minimal human intervention
  • Proven ability to drive strategic initiatives, influence without authority, and earn trust across an organization
  • Strong instincts for discovery; you know how to ask the right questions and turn ambiguous problems into clear, scoped work
  • Comfort working across technical and non-technical stakeholders; you can talk to engineers and align a department head in the same afternoon
  • An understanding of how data flows through an organization and why connecting those flows matters
  • A bias toward outcomes over outputs; you care whether it worked, not just whether it shipped

Experience:

  • Demonstrated track record leading digital transformation or AI adoption initiatives inside a mid-to-large organization
  • Direct, hands-on experience with Claude, ideally Claude Enterprise, including deploying it across teams, building Projects and knowledge bases, and driving measurable adoption
  • Experience designing and implementing agentic workflows that connect enterprise systems and reduce manual processes
  • Background working cross-functionally at a senior level, translating organizational needs into AI-powered solutions that stick
  • Familiarity with change management in the context of technology adoption; you know how to bring skeptics along and build lasting habits, not just launch tools
  • Experience evaluating, piloting, and recommending AI tools and platforms in a business context
  • Prior work in media, publishing, or a similarly complex multi-brand or multi-business-unit environment is a plus

Skills:

Technical

  • Claude and the Anthropic platform (Claude Enterprise, Projects, Cowork, Code, etc.)
  • Agentic workflow design and implementation
  • Experience working with SaaS integrations, APIs, and MCP connectors to connect enterprise systems and extend AI capabilities
  • Prompt engineering and AI system design
  • Deep understanding of data pipelines and how enterprise data sources connect

Soft skills

  • Consultative mindset; you listen to understand before moving to solutions
  • Executive-level stakeholder management and communication
  • Ability to translate ambiguity into structured, actionable plans
  • Curiosity and a habit of continuous learning
  • Comfort with change and the abilityto bring others along through it
  • Collaborative by default, decisive when it matters


Location: Detroit preferred with Chicago or Manhattan offices also possible. In office 3 days per week.

This position is exempt under the Fair Labor Standards Act and is not eligible for overtime pay.

Pay Transparency Disclosure:

The estimated salary range for this position is $140,000 to $160,000.


The final salary offering will take into account a wide range of factors, including experience, accomplishments and location. The salary range provided should not be considered as a salary limit or cap. In addition to base salary, Crain also offers competitive benefits including retirement plan savings contributions and bonus opportunities based on individual and company performance.

#LI-LV1

#LI-onsite

#director

#product

#full-time

About Crain Communications:

Crain Communications is a leading business news and information company with a portfolio of 24 media brands that provide indispensable coverage and data for professionals globally and across sectors, including advertising, automotive, finance, healthcare, staffing, and workforce solutions. Many of Crain's brands are the most influential media properties in the industries and communities they serve, including Ad Age, Automotive News, Pensions & Investments, Modern Healthcare, Staffing Industry Analysts, as well as Crain's regional business brands. For more than a century, our dedication to deep sector expertise and journalistic integrity has enabled us to provide trusted insights across all our platforms, empowering today's business leaders to make industry-shaping decisions. To learn more about Crain Communications, visitcrain.com.

Environmental Demands

Where you work matters. The job posting will provide specific information on where and when your amazing work would be performed. Employee work location is determined by the needs of the specific team and may include on-site, hybrid or remote. Employee work location is subject to change.

  • An "in-office" role would require the employee to come into the office most days with occasional flexibility to work remotely if tasks can be performed elsewhere and if the manager approves.
  • A "remote" role would allow an employee to work from a home office that is in one of the states Crain does business in. We can only employ a remote / "work from home" employee if they reside in one of these states: AZ, CA, CO, FL, GA, IL, MD, MA, MI, MN, NV, NY, NC, OH, OR, TN, TX, VA, WA, WI, and Washington, DC.
  • A "hybrid" role would be a mix of in-office and remote work. There may be a specified schedule for coming into the office or it could be at the discretion of the employee with the manager's approval, subject to change.
  • Employees who live within a reasonable commute distance from a Crain office are expected to work on-site 3 days per week.

Many positions will also include work done in "the field." Depending on the role, this may include conducting in-person interviews, attending work-related events, meeting with sources or clients. Specifics will be noted in the job posting but are subject to change as a role evolves. Employees may be exposed to adverse environmental conditions, specifically during field work. Other typical job functions are performed under conditions such as those found in general office work.

Travel to cover news stories/events, meetings with clients, and to our geographically separated offices may be required. It is the nature of many positions to experience non-standard working hours and be on-call when needed for responding to email, meeting with clients, attending work-related events, story development or breaking news. Most employees perform work Monday through Friday, although early-morning, evening or weekend shifts may be required. Work schedule and travel requirements are subject to change as a role and needs evolve over time.

Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of many Crain jobs and are subject to change.

Physical activities will include frequent in-person or virtual interactions. For most positions, it is essential to be able to remain at a desk/computer workstation for prolonged periods, perform computer-related tasks, and create/maintain documents within filing systems. Must have close visual acuity to perform an activity, such as preparing and analyzing reports and information, transcribing, viewing a computer terminal, or extensive reading. The typical physical requirements are light work-exerting up to 25lbs of force occasionally and/or up to 10lbs of force frequently and may include climbing, pushing, standing, hearing, walking, reaching, grasping, kneeling, stooping, and repetitive motion. Some positions will have additional physical requirements, including exerting up to 50lbs of force to move and/or carry equipment, supplies, files, or other materials as the role requires.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions and meet the environmental and physical demands of the role.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

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