We are seeking a AI Platform Engineer with approximately 6–12+ years of experience in the field. Builds and operates the shared AI platform infrastructure — the paved road every AI practice builds on top of, so no team reinvents deployment plumbing.
Responsibilities:
Build and maintain shared AI platform infrastructure — compute provisioning, networking, IAM for AI workloads
Own the internal tooling and templates practices use to deploy models/agents consistently
Standardize CI/CD pipelines for AI workloads across practices, including shared AI evaluation platforms
Manage platform-level cost governance and capacity planning across concurrent engagements
Own platform security posture in partnership with AI Security Engineers
Partner with MLOps/LLMOps Engineers on the boundary between platform and workload-specific operations
Balance competing infrastructure requests from multiple practice leads
Document platform capabilities clearly enough that practices can self-serve
Forecast and justify platform spend to non-technical leadership
Requirements:
6–12+ yrs platform/infrastructure engineering, with 2+ yrs supporting AI/ML workloads specifically
Deep cloud infrastructure expertise (IaC, Kubernetes, networking, IAM), including hosting vector/graph databases
Experience building internal developer platforms/tooling, not just running infrastructure
Experience integrating and operating managed AI/agentic platforms — Microsoft Azure AI Foundry, AWS Bedrock, and Google Vertex AI — alongside self-hosted open-source stacks as a good-to-have
Familiarity with multi-tenant capacity planning and cost allocation
Experience with platform-level security hardening
Cross-practice stakeholder management — balances competing infra requests from multiple practice leads
Cost/capacity planning literacy — can forecast and justify platform spend to non-technical leadership
Documents platform capabilities clearly enough that practices can self-serve
Team-oriented — builds sh
📌 AI Platform Engineer (India)
🏢 Systems
📍 India