The purpose of this role is to deliver analysis inline with client business objectives, goals, and to maintain, develop and exceed client performance targets.
Job Description:
About the Role
We're looking for an AI DevOps Engineer who lives at the intersection of production AI/ML infrastructure and creative technology. You'll own the deployment, scaling, and reliability of our generative AI systems — RAG pipelines, multi-agent workflows, multimodal and vision models — across all three major clouds. Just as importantly, you understand the creative side: you can plug AI into real production pipelines built on tools like After Effects and Figma, and you speak the language of designers, animators, and media teams.
This is a builder role for someone who's equally comfortable writing Terraform and reasoning about a vector retrieval pipeline, and who gets genuinely excited when AI infrastructure ships something creative into the world.
What You'll Do
Design, build, and operate CI/CD and MLOps/LLMOps pipelines for deploying AI models and services across Azure, GCP, and AWS.




Deploy and scale RAG systems end to end — embeddings, vector databases, retrieval and re-ranking pipelines, and evaluation.
Stand up and operate multi-agent orchestration frameworks (e.g. LangGraph, CrewAI, AutoGen, or similar) in production, including tool integration, state management, and observability.
Integrate and serve multimodal, vision, and computer vision capabilities — vision APIs, image/video understanding, and CV model inference.
Own infrastructure-as-code, containerization, and orchestration (Terraform, Docker, Kubernetes) and GPU-backed model serving.
Build monitoring, logging, cost tracking, and performance optimization for GenAI and LLM workloads.
Partner with creative and design teams to embed AI into creative production pipelines — automating and extending workflows in tools like Adobe After Effects and Figma.
Champion reliability, security, and reproducibility across the AI stack.
Req

📌 AI Devops Engineer (Gurugram)
🏢 dentsu
📍 Gurugram