10 hours ago
Pune, IndiaSenior
Responsibilities
- Design, develop, and maintain reusable agentic AI frameworks, orchestration templates, shared services, libraries, and platform accelerators.
- Build MCP-compatible integrations, enterprise connectors, APIs, services, and event-driven cloud-native integration architectures.
- Implement AI governance, security, compliance, traceability, auditability, monitoring, lifecycle management, observability, evaluation, and operational oversight.
- Translate business requirements into scalable technical solutions, architectures, interfaces, system interactions, and non-functional requirements.
- Participate in coding, code reviews, testing, deployment, production support, documentation, and full software lifecycle activities.
- Create starter kits, deployment accelerators, implementation guides, automation, tooling, guardrails, telemetry, and fallback strategies to improve engineering productivity and reliability.
- Mentor team members, evaluate emerging technologies, recommend innovative approaches, and contribute to technical excellence and modern engineering practices.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, or equivalent professional experience.
- Experience developing enterprise software applications and delivering solutions through the full software development lifecycle.
- Strong software architecture, platform engineering, reusable framework, shared service, scalable systems, and solution design expertise.
- Strong backend development experience using Python and/or Node.js, with experience in APIs, microservices, event-driven architectures, and cloud-native systems.
- Experience building enterprise AI and agentic AI solutions, including workflow automation, tool orchestration, multi-agent systems, and AI orchestration frameworks.
- Expertise with one or more of LangGraph, Semantic Kernel, AutoGen, or CrewAI, plus familiarity with MCP ecosystem concepts and enterprise AI integration patterns.
- Understanding of AI governance, security and compliance, observability, monitoring, evaluation, testing methodologies, operational risk management, telemetry, logging, and audit capabilities.
- Experience with Agile development, DevOps, DevSecOps, Infrastructure as Code, automated testing frameworks, CI/CD pipelines, source control, production operations, and modern engineering practices.
- Preferred: enterprise governance and risk management, responsible AI and compliance, platform engineering, developer enablement, vector databases, Retrieval-Augmented Generation, enterprise search, knowledge management, large-scale enterprise environments, or relevant technical certifications.
Categories
About Cummins
Cummins Inc. designs and manufactures diesel, natural gas, and electrified powertrains, generators, and related components (turbochargers, filtration, emission systems) for commercial vehicles, industrial equipment, marine, rail, and power markets. It sells to OEMs and fleet operators and provides parts and service through a global distribution network. Founded in 1919 and headquartered in Columbus, Indiana, Cummins is a public company listed on the NYSE (CMI).