Senior Associate – Forward Deployment Engineer (DevOps, AI Deployment)
AI Deployment & DevOps Engineering | Forward Deployed Engineering

Experience Required
5–9 years.

Location: Bangalore / Hyderabad

Job Summary
A senior DevOps engineer who owns how AI solutions are deployed into a client's environment. As the technical owner for deployment, you will design pipelines and infrastructure, harden AI applications for production, and meet enterprise security and governance requirements on AWS.

Key Responsibilities
Own the deployment architecture for AI solutions on AWS.
Design and own CI/CD, Infrastructure as Code, and release standards across engagements.
Lead integration of AI solutions into legacy and regulated environments, respecting identity, security, and governance.
Set up scalable model and agent serving, with the vector and retrieval infrastructure behind it.
Establish observability, evaluation, and cost controls for AI workloads in production.
Define a practical approach to security, governance, and responsible AI for deployments.




Build reusable deployment accelerators, and mentor engineers.
Bring field learnings and product gaps back to the wider practice.

Required Qualifications
Substantial DevOps or platform engineering experience with ownership of production deployments.
Deep CI/CD, Docker, and Kubernetes experience, with strong Terraform / IaC.
Robust AWS fluency across deployment-relevant services.
Strong grounding in identity, security, and networking, and enterprise integration.
Solid automation skills and a habit of codifying build and run processes.
Deep, hands-on experience deploying LLM and agentic applications to production (LLMOps), including serving, scaling, retrieval infrastructure, observability, evaluation, and responsible AI.
Mandatory: AWS, DevOps, or GenAI certification (at least one) is required.

Preferred Qualifications
Enterprise AI platforms (Palantir Foundry, Databricks, Snowflake) and MLOps tooling at scale.
Experience in regu

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