Senior AI Reliability Engineer

Develop the AI Framework Driving Adobe's Next Generation of Intelligent Operations

At Adobe, we're building an AI-first engineering platform that transforms how software is built, deployed, operated, and secured.

We're seeking engineers enthusiastic about LLMs, AI Agents, MLOps, Kubernetes, cloud infrastructure, and autonomous operations to develop the AI platform driving the future of Adobe's engineering ecosystem.

You will operate where AI, Platform Engineering, SRE, and Cloud Infrastructure meet. You will create intelligent systems that automate operations, speed up developer productivity, and support AI-powered decision-making on a large scale.

What you are going to develop

Instead of managing infrastructure, you'll develop the AI platform that manages infrastructure.

AI Platform Engineering
Design and build enterprise AI platforms for deploying, operating, and scaling LLM-powered applications.
Develop AI Agents and MCP (Model Context Protocol) servers that automate engineering workflows.




Build secure AI gateways enabling developers to interact with infrastructure through natural language.
Design Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge bases.
Build AI copilots for incident response, debugging, deployment validation, and operational workflows.
Develop AI assessment frameworks to consistently gauge model quality, accuracy, latency, cost, and safety.

MLOps or equivalent experience & LLMOps
Build production-grade inference platforms for foundation models and AI services.
Deploy and manage LLM workloads on Kubernetes.
Design scalable GPU-enabled infrastructure for model inference and AI workloads.
Build CI/CD pipelines for AI models including automated testing, evaluation, rollout, and rollback.
Automate model lifecycle management including deployment, versioning, monitoring, and governance.
Implement prompt versioning, model experimentation, and AI release management.

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📌 Software Development Engin Bengaluru
🏢 Adobe
📍 Bengaluru