ZipRecruiter

Log In

1

Ai Manager Jobs in Indiana (NOW HIRING)

Major Tool & Machine

AI Engineer

Indianapolis, IN · On-site

Experience with MES/ERP systems, quality management systems, and manufacturing data preferred. * NLP/document AI * Strong analytical and problem-solving skills, with knowledge of forecasting and data ...

previous pagenext page

Showing results 21-40

All JobsAi JobsAi Manager JobsAi Manager Jobs in Indiana

Ai Manager information

See Indiana salary details

$22.5K

$96.7K

$182.3K

How much do ai manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai manager in Indiana is $96,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,558.00 and $133,584.00 per year, depending on experience, location, and employer.

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in artificial intelligence, machine learning, or data analysis. Developing leadership skills and understanding project management are also important, often supported by certifications like PMP or specialized AI courses. Gaining hands-on experience through projects or roles in AI development is essential for advancing to management positions.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, set project goals, and ensure AI solutions align with business objectives, often requiring knowledge of machine learning tools and programming languages. Their role involves managing timelines, budgets, and stakeholder communication to deliver effective AI systems.

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

What are the key skills and qualifications needed to thrive as an AI manager?

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and stock options.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

What are the most commonly searched types of Ai jobs in Indiana?

The most popular types of Ai jobs in Indiana are:

What are popular job titles related to Ai Manager jobs in Indiana?

For Ai Manager jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ai Manager jobs in Indiana look for?

The top searched job categories for Ai Manager jobs in Indiana are:

What cities in Indiana are hiring for Ai Manager jobs?

Cities in Indiana with the most Ai Manager job openings:

Ai Manager jobs near you
Infographic showing various Ai Manager job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $96,722 per year, or $46.5 per hour.

Lead Technology Product Manager, AI Quality & Evaluation

Wolters Kluwer

Indianapolis, IN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Wolters Kluwer rating

9.1

Company rating: 9.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

25th of 244 rated software companies

Job description

Build the product capabilities that help ensure AI-enabled healthcare experiences are useful, trusted, and responsibly deployed.

At Wolters Kluwer Health, the UpToDate suite supports millions of clinical decisions every day. As AI becomes part of healthcare workflows, quality cannot be treated as a one-time launch checkpoint. AI experiences need to be evaluated,monitored, and improved continuously so clinicians and care teams can trust the information and interactions they rely on.

As Senior Product Manager, AI Quality & Evaluation, you will play a core role in translating clinical quality standards and evaluationstrategyinto scalable product capabilities. Working under product leadership and in close partnership with clinical, technical, and data experts, you will help define the requirements, workflows, tooling, automation, and reporting needed to evaluate AI-enabled experiences before and after launch.

This role does not own the clinical quality standard or statisticalmethodology. It helps make those standards operational at scale through usable tools, repeatable workflows, measurable signals, andclear evidencethat supports product decisions, customer trust, and responsible AI.

What You'll Do

  • Translate expert-defined quality standards and evaluation methods into product requirements, workflows, and roadmap priorities.

  • Drive discovery and delivery for defined AI quality and evaluation capabilities, including tooling, automation, monitoring, evidence capture, and reporting.

  • Partner with clinical, data science, engineering, product, legal, compliance, and customer-facing teams to operationalize AI evaluation before and after launch.

  • Identifyopportunities to automate and scale evaluation workflows while preservingappropriate expertoversight.

  • Define product requirements for review workflows,issuetriage, launch readiness, post-launch monitoring, and quality reporting.

  • Use evaluation insights to inform product improvements, user experience, content quality, model behavior, and operational processes.

  • Track emerging market practices and customer expectations related to AI quality, evaluation, benchmarking, and responsible AI.

  • Translate AI quality and evaluation practices into clear narratives for product leaders, customer-facing teams, and internal stakeholders.

What You'll Bring

  • 5+ years of product management experience in healthcare, enterprise SaaS, data-driven products, platform products, quality, or related areas.

  • Strong product discovery and execution skills, includingrequirementsdefinition, roadmap planning, experimentation, and metrics-driven decision-making.

  • Ability to translate complex clinical, technical, quality, or risk concepts into practical product requirements and workflows.

  • Experience working with engineering, data, clinical, compliance, customer-facing, or operational stakeholders.

  • Strong analytical thinking and comfort defining metrics, dashboards, workflows, and decision criteria.

  • Strong communicationskills, especially around quality, trust, tradeoffs, evidence, and customer value.

  • Curiosity and learning agility around AI, evaluation methods, responsible AI, and emerging technologies.

Preferred Background

  • Experience with AI-enabled products, healthcare technology, quality tooling, data products, search/retrieval quality, content quality, clinical validation, or decision-support products.

  • Familiarity with AI evaluation methods, benchmarks, monitoring, human-in-the-loop review, automation, or applied machine learning concepts.

  • Experience in healthcare, clinical workflows, regulated environments, or professional-information products.

  • Experience supporting customer-facing narratives around product quality, trust, or responsible technology.

What Success Looks Like

  • Expert-defined quality standards are translated into scalable product workflows, tools, and requirements.

  • Evaluation processes become more automated, repeatable, measurable, and usable by cross-functional teams.

  • Product teams have clearer quality signals and launch-readiness criteria for AI-enabled experiences.

  • Evaluation insights improve product quality, customer trust, user experience, and responsible AI practices.

  • Customer-facing teams can clearly explain how AI quality and trust are evaluated.
    #LI-Hybrid

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$118,300.00 - $207,400.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

What Wolters Kluwer employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply