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Product Engineering Specialist, Applied AI

Cummins

On-site
Pune, Maharashtra
Full-time
Mid Level
Salary not listedPosted 4w ago

Real job — pulled straight from Cummins’s careers page · Verified July 18, 2026 · No reposts.

Job description

Cummins is hiring a Product Engineering Specialist, Applied AI — a full-time, based in Pune, Maharashtra role. Apply directly on Cummins's careers page below.

Product Engineering Specialist

Location: Pune, Maharashtra, India

Job Summary

The Product Engineering Specialist – Applied AI Specialist is responsible for driving the development, deployment, and adoption of Artificial Intelligence (AI) and Generative AI (GenAI) solutions across engineering and technical functions. This role combines strong product engineering expertise with advanced AI capabilities to design, develop, validate, and scale innovative solutions that address complex business and engineering challenges.

Working as a technical specialist, the incumbent serves as a key liaison between engineering, product teams, IT, and business stakeholders to deliver AI-enabled solutions throughout the product lifecycle. The role also supports the establishment and growth of the Tech AI Innovation Lab, enabling experimentation, capability building, and enterprise-scale AI adoption while ensuring alignment with Cummins engineering, governance, security, and quality standards.

Key Responsibilities

AI Solution Development & Product Engineering

  • Design, develop, validate, and deploy AI/GenAI-based solutions, proof-of-concepts, pilots, and production-ready applications. 
  • Apply engineering principles, analytical methods, and AI technologies to solve product, system, and business challenges. 
  • Lead technical problem-solving activities and provide recommendations that support quality product and business decisions. 
  • Support product development activities across the entire lifecycle, from concept through deployment and continuous improvement. 
  • Utilize structured engineering processes, including Engineering Standard Work (ESW), Failure Mode and Effects Analysis (FMEA), design reviews, and problem-solving methodologies. 

TechAI Lab Enablement & Innovation

  • Establish, operationalize, and scale the TechAI Innovation Lab environment, including datasets, models, tools, and development frameworks. 
  • Develop reusable AI architecture, accelerators, best practices, and reference implementations. 
  • Drive innovation through experimentation, emerging AI technologies, and advanced analytics capabilities. 
  • Support the evaluation and adoption of new AI tools, platforms, and methodologies.

AI Product ionization & Integration

  • Lead the transition of AI solutions from proof-of-concept to pilot and enterprise-scale deployment. 
  • Collaborate with IT, engineering, and business teams to define deployment architectures, APIs, pipelines, integrations, and hosting strategies. 
  • Ensure solutions align with enterprise architecture, cybersecurity, governance, compliance, and operational requirements. 
  • Support deployment, monitoring, maintenance, and long-term sustainment of AI applications. 

Cross-Functional Collaboration & Technical Leadership

  • Serve as a technical advisor and liaison between engineering, IT, product development, and business stakeholders. 
  • Influence technical direction and support decision-making across projects and initiatives. 
  • Coordinate activities among engineers, analysts, data scientists, and technical teams to achieve project objectives. 
  • Mentor and guide less experienced engineers and technical professionals. 

Capability Building & AI Adoption

  • Coach teams and stakeholders on AI technologies, methodologies, and best practices. 
  • Conduct workshops, training programs, technical sessions, and office hours to accelerate AI adoption. 
  • Support the development of AI playbooks, standards, and reusable learning assets. 
  • Promote responsible AI practices and enterprise-wide adoption of AI-driven solutions. 

Documentation & Continuous Improvement

  • Create and maintain technical documentation, knowledge repositories, deployment guides, and solution architectures. 
  • Capture lessons learned and promote knowledge sharing across teams. 
  • Drive continuous improvement of engineering processes, AI development practices, and solution delivery methods. 

About Us

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.This product focused position performs established technical tasks at the sub-system and/or component level for current and future products within a given business unit or corporate area. This involves work across many steps in the product life cycle. Because of the product centered nature of this position, they are very often a central point of coordination and decision making between product line engineers, customer teams, systems engineers, purchasing, suppliers and manufacturing.

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Frequently asked questions

What skills are required for Product Engineering Specialist, Applied AI at Cummins?

The required skills for Product Engineering Specialist, Applied AI at Cummins include: AI, Generative AI, Machine Learning, Data Science, API, Python, Cloud Computing, Agile.

What is the seniority level for Product Engineering Specialist, Applied AI at Cummins?

Product Engineering Specialist, Applied AI at Cummins is a Mid Level level position.

How do I apply for Product Engineering Specialist, Applied AI at Cummins?

You can view the full description and apply for Product Engineering Specialist, Applied AI at Cummins on EchoJobs: https://echojobs.io/job/cummins-product-engineering-specialist-hgb7e.