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Ai Program Manager Jobs in Indiana (NOW HIRING)

Strong program management and governance skills, with a focus on execution and outcomes * Experience influencing senior leaders and driving alignment across functions * Solid understanding of AI ...

Certifications in AI/ML, program management, or product ownership are a plus * Work Experience: * 7+ years of experience in data, AI/ML, analytics, or digital innovation programs * Experience ...

Description At Arrive AI (Nasdaq: ARAI), we're not just building products-we're transforming the ... Key Responsibilities SOX Compliance & Internal Controls Own the end-to-end SOX compliance program ...

$140K - $185K/yr

In this role, you'll act as the primary builder for Marketing's AI transformation by designing ... Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

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Ai Program Manager information

See Indiana salary details

$36.6K

$102.3K

$149.4K

How much do ai program manager jobs pay per year?

As of Jun 18, 2026, the average yearly pay for ai program manager in Indiana is $102,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,600.00 and $126,100.00 per year, depending on experience, location, and employer.

Will AI replace program managers?

AI program managers oversee the integration of artificial intelligence into projects, coordinating teams and managing timelines. While AI can automate routine tasks and assist in data analysis, human oversight, strategic decision-making, and stakeholder communication remain essential, making complete replacement unlikely in the near term.

What does an AI program manager do?

An AI program manager oversees the planning, development, and implementation of artificial intelligence projects within an organization. They coordinate cross-functional teams, manage project timelines and budgets, and ensure AI solutions meet business objectives, often requiring knowledge of machine learning, data analysis, and project management tools. Their role involves aligning AI initiatives with strategic goals and ensuring successful deployment and integration.

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

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

What are some common challenges faced by AI Program Managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What is an AI Program Manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

How much does an AI program manager make?

An AI program manager's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas can earn higher compensation, often including bonuses and stock options.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or AI program managers with extensive experience and responsibilities. These positions often require advanced skills in AI development, leadership, and strategic planning, and may include bonuses or stock options that contribute to total compensation.
What are popular job titles related to Ai Program Manager jobs in Indiana? For Ai Program Manager jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Ai Program Manager jobs? Cities in Indiana with the most Ai Program Manager job openings:
Infographic showing various Ai Program Manager job openings in Indiana as of June 2026, with employment types broken down into 2% As Needed, 83% Full Time, 14% Part Time, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $102,255 per year, or $49.2 per hour.
Product Manager - Agentic AI Framework

Product Manager - Agentic AI Framework

Cummins

Columbus, IN • On-site

Full-time

Posted 2 days ago


Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 246 frontline employees who took The Breakroom Quiz

109th of 518 rated manufacturers


Job description

We are looking for a talented Agile Product Manager to join our team specializing in Systems/Information Technology for our Corporate organization in Columbus, IN. 

In this role, you will make an impact in the following ways:

  • Act as the voice of the customer by deeply understanding customer needs, personas, and user problems, ensuring solutions deliver real market and business value.
  • Translate customer insights, user research, and market trends into compelling problem statements that guide product strategy and solution design.
  • Collaborate with Epic Owners to develop Lean business cases for Epics, aligning investments with value delivery across the Agile Release Train (ART).
  • Apply portfolio and programlevel strategy by aligning product decisions with strategic themes, the Portfolio Canvas, Lean Budgets, and Guardrails.
  • Own and manage the Program Backlog and Kanban flow, ensuring features are prioritized, transparent, welldefined, and continuously ready for execution.
  • Lead Program Increment (PI) planning by presenting product vision, approving PI objectives, assigning business value, and determining release timing based on delivered value.
  • Partner with System and Solution Architecture to understand enablers, influence sequencing decisions, and balance technical and business priorities.
  • Build and lead a strong Product Management/Product Owner team while fostering trusted relationships across the organization to consistently deliver business outcomes.
Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

Job Summary

Drives the strategy, development, and adoption of the IT Agentic AI Framework - a foundational platform enabling teams across the IT organization to design, build, and deploy intelligent software agents at scale. The ideal candidate bridges the evolving agentic AI landscape and strategic enterprise IT goals, translating complex multi-agent architectures into governed, reusable capabilities that accelerate solution delivery.

Key Responsibilities

  • Own the product roadmap for the Agentic AI Framework, prioritizing orchestration capabilities, agent library governance, and developer enablement across agent teams and solution builders
  • Serve as a trusted advisor to engineering teams, solution architects, and business stakeholders on agent design patterns, MCP-based tool integration, orchestration best practices, and context management strategies
  • Define and own the enterprise orchestration strategy, establishing standard patterns for sequential, parallel, hierarchical, and event-driven multi-agent workflows adopted across the organization
  • Govern the selection, configuration, and evolution of the core orchestration engine - evaluating frameworks (LangGraph, CrewAI, AutoGen, or equivalent SaaS offerings) against enterprise scalability, reliability, and governance requirements
  • Define and govern the enterprise agent library - overseeing intake, versioning, approval workflows, and lifecycle management of reusable agents, tools, and MCP server endpoints
  • Partner with AI architects, security, and compliance teams to embed TRiSM standards into the framework - including explainability, behavioral guardrails, prompt injection defense, and AI risk governance
  • Lead enablement for internal agent teams, solution advisors, and domain developers adopting the framework, ensuring teams build confidently on shared infrastructure
  • Track the agentic AI ecosystem - emerging standards (MCP, A2A, OpenTelemetry for agents), open-source frameworks, and vendor capabilities - and translate findings into actionable roadmap recommendations
  • Define requirements, milestones, and acceptance criteria for framework deliverables in alignment with the AI Center of Excellence

Competencies:

  • Agentic Orchestration Expertise: Deep working knowledge of multi-agent coordination patterns - supervisor/worker, peer-to-peer, fan-out/aggregation, ReAct, and plan-and-execute - and the ability to prescribe the right pattern for enterprise use cases
  • Orchestration Platform Fluency: Hands-on familiarity with orchestration frameworks (LangGraph, CrewAI, AutoGen, Temporal, or equivalent), durable execution models, state management, and workflow failure recovery patterns
  • Agentic AI Alignment: Translates business goals into framework capabilities - orchestration patterns, solution accelerators, and reusable agent components that reduce time-to-value
  • Platform Expertise: Deep understanding of orchestration frameworks, MCP protocol, RAG architectures, LLM gateway patterns, agent memory management, and multi-agent coordination
  • AI Governance & TRiSM: Embeds trust, risk, security, and privacy controls by design - guardrails, audit logging, agent cards, and anomaly detection
  • Cross-Functional Partnership: Operates effectively across AI engineering, enterprise architecture, security, data governance, and business solution teams
  • Innovation Awareness: Maintains current knowledge of the agentic AI ecosystem and proactively shapes the framework roadmap as standards and tooling evolve
  • Balances Stakeholders | Customer Focus | Global Perspective | Values Differences

Education, Licenses, Certifications, Experience

  • Degree in Computer Science, Information Systems, Engineering, or related field
  • 4-6 years in product management, platform engineering, or technical program management - minimum 2 years in AI, ML, or enterprise software platforms
  • Hands-on with agentic AI concepts: LLM tool-calling, multi-agent orchestration, MCP, RAG, and agent memory patterns
  • Strong communicator - able to translate complex agentic architecture for both engineering teams and executive audiences

To be successful in this role you will need the following:

  • Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders.
  • Business insight - Applying knowledge of business and the marketplace to advance the organization's goals.
  • Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
  • Customer focus - Building strong customer relationships and delivering customer-centric solutions.
  • Global perspective - Taking a broad view when approaching issues, using a global lens.
  • Manages conflict - Handling conflict situations effectively, with a minimum of noise.
  • Agile Systems Thinking - Embraces a holistic approach to analysis that focuses on the way that a system's constituent parts interrelate and how systems work over time and within the context of larger systems to ensure the economic success of the solution.
  • Building High Performance Teams - Identifies and applies critical skills and Lean-Agile principles and practices in the creation of high-performing Agile teams to construct high-quality, well designed technical solutions.
  • Lean Agile and SAFe Mindset - Advocates for and leads others in the concepts of the Agile Manifesto and Lean thinking in support of adopting and applying the 9 SAFe principles and practices for the organization.
  • Lean Portfolio Management, budgets, and Economic Framework - Applies Lean and systems thinking approaches in support of strategy, investment funding, Agile portfolio operations, and governance; evaluates working systems; manages Epic investments and dynamic budget adjustments to minimize overhead through funding and empowering Value Streams while maintaining financial and fit-for-use governance to minimize overhead; assesses and supports decision rules that align to the financial objectives of the Solution to guide the economic decision-making process.
  • Planning and Managing Ceremonies - Plans, schedules, and leads ceremonies that create a cadence for the team to maximize productivity, promote collaboration, maintain transparency, and inspect and adapt so the team can continuously learn and improve.
  • Program Backlog Management and User Story Elaboration - Identifies, refines, prioritizes, and sequences backlog items using Weighted Shortest Job First (WSJF) to ensure the economic success of the solution; determines the details of a product feature to ensure that any unanswered questions about it are answered so that development can proceed.
  • Values differences - Recognizing the value that different perspectives and cultures bring to an organization.

Education, Licenses, Certifications:

  • College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required.
  • SAFe Product Owner/Agile Product Manager (POPM) or SAFe Agile Product and Solution Management certifications are preferred.
  • This position may require licensing for compliance with export controls or sanctions regulations.

Experience:

  • Significant business and technical knowledge with practical experience of the Lean methodology, principles and tools are preferred.
  • Experience working in an Agile Environment is preferred.
  • Significant experience as a Product Owner is preferred.

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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919