Enterprise AI Platform Engineer

About the Role

You'll own the AWS infrastructure, gateways, security, and observability layer that our AI agent builders rely on every day. This is a high-impact platform engineering role at the intersection of cloud, AI, and enterprise security.

What You'll Do

Provision and manage core AWS infrastructure, including Bedrock AgentCore runtime and CSP AWS services

Implement enterprise identity with IAM, Cognito, and Okta SSO integration

Build platform components: memory stores, policy enforcement engines, and browser tooling

Deploy and operate MCP Gateway (AgentCore/Kong), LLM Gateway (multi-model routing), and Bedrock integrations

Manage Docker builds, ECR registries, EKS clusters, and EC2 instances

Author Terraform IaC modules and maintain Jenkins/Terraform Enterprise CI/CD pipelines

Set up RAG data infrastructure using PostgreSQL and Redshift

Develop MCP server tools for APIs and browser integrations

Enable multi-LLM support (AWS Nova, OpenAI, Anthropic Claude/Opus, Gemini)

Implement observability with CloudWatch, X-Ray, Splunk, and New Relic

Design platform APIs supporting REST, SOAP, GraphQL, OAuth2, streaming, and A2A communication

What You Bring

5+ years of AWS platform engineering with Bedrock, AgentCore, and EKS/ECR

Expert-level Terraform IaC (modules, state management, AWS providers) and Jenkins pipelines

Deep gateway experience (Kong, MCP servers, LLM routing, rate limiting, guardrails)

Strong observability across CloudWatch / X-Ray / Splunk / New Relic

Enterprise identity patterns (IAM roles/SCPs, Cognito federation, Okta SSO)

Distributed systems design for multi-tenant AI platforms with fault tolerance and compliance

Nice to Have

Previous enterprise AI platform builds (Bedrock Guardrails, AgentCore gateway deployments)

Multi-model LLM gateway operations (model routing, cost optimization, SLAs)

Location: Chennai, Hyderabad, Bangalore, Pune