Product Engineering Specialist at CUMMINGS INC

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

0.0

Posted On

13 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Generative AI, Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, Machine Learning, MLOps, LLMOps, Azure AI Foundry, AWS Bedrock, API Development, Microservices, Data Engineering, Stakeholder Management, Technical Leadership, Project Planning

Industry

Motor Vehicle Manufacturing

Description

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. 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.

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Responsibilities

Drive the development, deployment, and scaling of AI and Generative AI solutions across engineering and technical functions. Establish and operationalize the Tech AI Innovation Lab to enable experimentation and enterprise-scale AI adoption.