AI DevOps Engineer || 7+ Yrs || Pan India

DevOps - DevOps + AI.( Must have )

All IT location

SAL2 – 7+ Years

Immediate joiners only

DevOps - DevOps + AI.( Must have )

Software Engineer is primary. Person will work with DevOps team to deploy solutions.

Job Summary

We are seeking a Software Engineer to build and deploy AI-enabled applications in partnership with AI Engineers and product teams. This role focuses on application architecture, project scaffolding, enterprise integration, cloud implementation, and deployment readiness needed to move AI use cases from PoC to MVP and production.

The ideal candidate brings strong software engineering and cloud delivery experience, with practical exposure to AI solutions and common AI architecture patterns. This person does not need deep AI model-development expertise, but should understand how AI applications are structured, collaborate effectively with AI Engineers, and be adept at using modern AI productivity tools such as GitHub Copilot, Claude Code, and similar tools in a disciplined way to accelerate engineering delivery.

Key Responsibilities

• Integrate AI solutions with UAIS and other UHG/Optum systems to enable secure enterprise deployment.
• Select and apply the right technical patterns for AI solutions in partnership with AI Engineers.
• Scaffold projects, repositories, pipelines, environments, and shared services needed for delivery.
• Build core application components, APIs, data integrations, and deployment-ready services.
• Partner closely with DevOps and platform teams to ensure secure, scalable, and supportable deployments.
• Contribute to CI/CD, testing, release processes, and operational readiness for MVP and production solutions.

Key Skills & Experience

• Strong software engineering fundamentals with a hands-on builder mindset and experience delivering production-grade applications.
• Practical experience working on AI solutions alongside AI Engineers, with understanding of common patterns such as RAG, agentic workflows, API-based model integration, and evaluation or observability needs.
• Strong Azure experience across infrastructure, platform services, security, identity, and networking.
• Experience with DevOps tooling, CI/CD pipelines, environment management, and secure deployment practices.
• Strong experience with open source and cloud technologies such as Neo4j, Cosmos DB, PostgreSQL, MongoDB, Kafka, Containers, K8s, FastAPI, and related application frameworks.
• Strong understanding of data platform choices, including when to use relational, NoSQL, graph, vector, and event-driven architectural patterns.

Proven ability to deliver across multiple Optum or UHG projects and work effectively within enterprise standards and constraints.

Proficiency with GitHub workflows, branching strategies, pull requests, and modern AI productivity tools such as GitHub Copilot and Claude Code.