Lead enablement for internal agent teams, solution advisors, and domain developers adopting the ... Track the agentic AI ecosystem - emerging standards (MCP, A2A, OpenTelemetry for agents), open ...
Lead enablement for internal agent teams, solution advisors, and domain developers adopting the ... Track the agentic AI ecosystem - emerging standards (MCP, A2A, OpenTelemetry for agents), open ...
Lead enablement for internal agent teams, solution advisors, and domain developers adopting the ... Track the agentic AI ecosystem - emerging standards (MCP, A2A, OpenTelemetry for agents), open ...
Lead enablement for internal agent teams, solution advisors, and domain developers adopting the ... Track the agentic AI ecosystem - emerging standards (MCP, A2A, OpenTelemetry for agents), open ...
Lead enablement for internal agent teams, solution advisors, and domain developers adopting the ... Track the agentic AI ecosystem - emerging standards (MCP, A2A, OpenTelemetry for agents), open ...
Lead enablement for internal agent teams, solution advisors, and domain developers adopting the ... Track the agentic AI ecosystem - emerging standards (MCP, A2A, OpenTelemetry for agents), open ...
Lead enablement for internal agent teams, solution advisors, and domain developers adopting the ... Track the agentic AI ecosystem - emerging standards (MCP, A2A, OpenTelemetry for agents), open ...
Lead enablement for internal agent teams, solution advisors, and domain developers adopting the ... Track the agentic AI ecosystem - emerging standards (MCP, A2A, OpenTelemetry for agents), open ...
AI Engineer
Indianapolis, IN · Remote
We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...
AI Engineer
Indianapolis, IN · Remote
We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...
Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding ... DevOps). * 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in ...
Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding ... DevOps). * 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in ...
Post Doc Research Associate City: West Lafayette Job Summary Postdoctoral position: Machine ... Design AI agent systems to let biologists query, retrieve, and reason over large-scale image ...
Post Doc Research Associate City: West Lafayette Job Summary Postdoctoral position: Machine ... Design AI agent systems to let biologists query, retrieve, and reason over large-scale image ...
Architect multi-agent systems capable of reasoning, planning, and executing across complex, multi ... ML engineers, AI platform engineers, prompt engineers, and AI product specialists. * Build a center ...
Architect multi-agent systems capable of reasoning, planning, and executing across complex, multi ... ML engineers, AI platform engineers, prompt engineers, and AI product specialists. * Build a center ...
Architect multi-agent systems capable of reasoning, planning, and executing across complex, multi ... ML engineers, AI platform engineers, prompt engineers, and AI product specialists. * Build a center ...
Architect multi-agent systems capable of reasoning, planning, and executing across complex, multi ... ML engineers, AI platform engineers, prompt engineers, and AI product specialists. * Build a center ...
Architect multi-agent systems capable of reasoning, planning, and executing across complex, multi ... ML engineers, AI platform engineers, prompt engineers, and AI product specialists. * Build a center ...
Architect multi-agent systems capable of reasoning, planning, and executing across complex, multi ... ML engineers, AI platform engineers, prompt engineers, and AI product specialists. * Build a center ...
Partner with engineering and data science teams to embed security and governance expectations into AI pipelines, MLOps/LLMOps platforms, APIs, and agent frameworks. * Establish security standards ...
Partner with engineering and data science teams to embed security and governance expectations into AI pipelines, MLOps/LLMOps platforms, APIs, and agent frameworks. * Establish security standards ...
AI Solutions Engineer
Crawfordsville, IN · On-site
Familiarity with AI concepts such as prompt engineering, model evaluation, or agent-based workflows. * Experience working in an enterprise IT environment with complex, integrated systems.
AI Solutions Engineer
Crawfordsville, IN · On-site
Familiarity with AI concepts such as prompt engineering, model evaluation, or agent-based workflows. * Experience working in an enterprise IT environment with complex, integrated systems.
Partner with engineering and data science teams to embed security and governance expectations into AI pipelines, MLOps/LLMOps platforms, APIs, and agent frameworks. * Establish security standards ...
Partner with engineering and data science teams to embed security and governance expectations into AI pipelines, MLOps/LLMOps platforms, APIs, and agent frameworks. * Establish security standards ...
Partner with engineering and data science teams to embed security and governance expectations into AI pipelines, MLOps/LLMOps platforms, APIs, and agent frameworks. * Establish security standards ...
Partner with engineering and data science teams to embed security and governance expectations into AI pipelines, MLOps/LLMOps platforms, APIs, and agent frameworks. * Establish security standards ...
Senior AI Engineer
Indianapolis, IN · On-site
$99K - $137K/yr
Senior AI Engineer Type: W-2 Employment Location : Indianapolis, IN (on-site) Relocation: Not ... Practical experience with agent frameworks (e.g., LangGraph, CrewAI, AutoGen, or similar) and ...
Senior AI Engineer
Indianapolis, IN · On-site
$99K - $137K/yr
Senior AI Engineer Type: W-2 Employment Location : Indianapolis, IN (on-site) Relocation: Not ... Practical experience with agent frameworks (e.g., LangGraph, CrewAI, AutoGen, or similar) and ...
Senior AI Engineer
Indianapolis, IN · On-site
$99K - $137K/yr
Senior AI Engineer Type: W-2 Employment Location : Indianapolis, IN (on-site) Relocation: Not ... Practical experience with agent frameworks (e.g., LangGraph, CrewAI, AutoGen, or similar) and ...
Senior AI Engineer
Indianapolis, IN · On-site
$99K - $137K/yr
Senior AI Engineer Type: W-2 Employment Location : Indianapolis, IN (on-site) Relocation: Not ... Practical experience with agent frameworks (e.g., LangGraph, CrewAI, AutoGen, or similar) and ...
Associate Game Developer (Panda3D) - Remote
Indianapolis, IN · Remote
$20 - $70/hr
Junior Python Game Developer (Panda3D) Job Type: Contractor Location: Remote Job Summary: In this ... No prior experience in AI is required -- your domain knowledge is what matters. Key ...
Associate Game Developer (Panda3D) - Remote
Indianapolis, IN · Remote
$20 - $70/hr
Junior Python Game Developer (Panda3D) Job Type: Contractor Location: Remote Job Summary: In this ... No prior experience in AI is required -- your domain knowledge is what matters. Key ...
Minimum Qualifications * 10+ years in engineering, technical architecture, AI/ML systems, or related fields. * 3+ years hands-on experience building or deploying GenAI, LLM, RAG, or agent-based ...
Minimum Qualifications * 10+ years in engineering, technical architecture, AI/ML systems, or related fields. * 3+ years hands-on experience building or deploying GenAI, LLM, RAG, or agent-based ...
Minimum Qualifications * 10+ years in engineering, technical architecture, AI/ML systems, or related fields. * 3+ years hands-on experience building or deploying GenAI, LLM, RAG, or agent-based ...
Minimum Qualifications * 10+ years in engineering, technical architecture, AI/ML systems, or related fields. * 3+ years hands-on experience building or deploying GenAI, LLM, RAG, or agent-based ...
AI Product Architect Director
Carmel, IN · On-site
Minimum Qualifications * 10+ years in engineering, technical architecture, AI/ML systems, or related fields. * 3+ years hands-on experience building or deploying GenAI, LLM, RAG, or agent-based ...
AI Product Architect Director
Carmel, IN · On-site
Minimum Qualifications * 10+ years in engineering, technical architecture, AI/ML systems, or related fields. * 3+ years hands-on experience building or deploying GenAI, LLM, RAG, or agent-based ...
Associate Ai Agent Developer information
What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?
| Aspect | Associate Ai Agent Developer | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's in CS, AI, or related field; some certifications | Bachelor's or Master's in CS, Data Science, or related; advanced certifications |
| Work Environment | Tech companies, AI startups, R&D labs | Tech firms, AI companies, research institutions |
| Employer & Industry Usage | Develops AI agents, chatbots, virtual assistants | Designs ML models, algorithms, data pipelines |
| Common Search & Comparison | Often compared for entry-level AI roles | More advanced, research-focused roles |
The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.
Cummins rating
8.1
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.
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.
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