Lead Gen AI

Lead Gen AI

Pan India

one of the leading MNC

mail at [email protected]

The Enterprise AI Platform Team builds and maintains the secure, scalable AWS foundation for agentic AI workloads. This team owns infrastructure provisioning, gateways, security, and observability to enable self-service agent development.

Key Responsibilities:

• Provision and manage core AWS infrastructure including Bedrock Agent Core runtime and CSP AWS services

• Implement identity management with IAM, Cognito, Okta integration for enterprise SSO

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

• Deploy and operate gateways: MCP Gateway (AgentCore/Kong), LLM Gateway (multi model routing), Bedrock integration

• Manage containers and compute: Docker builds, ECR registries, EKS clusters, EC2 instances

• Author IaC with Terraform 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 comprehensive observability: CloudWatch, X-Ray, Splunk, New Relic dashboards and alerting

• Design platform APIs supporting REST, SOAP, GraphQL, OAuth2, streaming protocols, and A2A communication Required Skills & Experience:

• 5+ years AWS platform engineering with Bedrock, AgentCore, EKS/ECR experience

• Expert Terraform IaC (modules, state management, AWS providers) and Jenkins pipeline development

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

• Strong observability implementation across CloudWatch/X-Ray/Splunk/New Relic stacks

• 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)