Project Role : AI / ML Engineer

Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Must have skills : Machine Learning Operations, DevOps, Large Language Models (LLMs)

Good to have skills : NA

Minimum 7.5 year(s) of experience is required

Educational Qualification : 15 years full time education Summary:

Pod: Pod 3 — Platform DevOps

Reports to: Engineering Manager, Platform Core (EM1)

Experience: 8–12 years

Location: Bangalore / US (flexible) ROLE OVERVIEW: This is the tech lead role for Pod 3, the infrastructure layer that keeps the entire platform operational, releasable, and observable. You will own the agent runtime hosting workplace, the CI/CD pipeline for platform releases,



and the observability infrastructure. Roles & Responsibilities:

Design and own the agent runtime hosting architecture — compute, scaling, isolation between agents, and resource governance

Build and operate the CI/CD pipeline for platform releases

Lead Pod 3's two DevOps/infrastructure engineers and release engineer

Own the platform observability stack

Define environment strategy: sandbox, staging, and production environments

Establish the platform's reliability contract

Partner with Security and Governance pod on infrastructure security IDEAL PROFILE:

Has built and operated the infrastructure layer for a machine learning or AI platform in production holds strong opinions about CI/CD for platform engineering understands cost management dimension of LLM infrastructure has led a small infrastructure engineering team.

📌 AI / ML Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru