Summary:
The Enterprise AI Platform Team is responsible for building and maintaining a secure, scalable AWS foundation for agentic AI workloads. This team focuses on infrastructure provisioning, gateways, security, and observability to facilitate self-service agent development.
Responsibilities:
- Provision and manage core AWS infrastructure including Bedrock Agent Core runtime and CSP AWS services.
- Implement identity management with IAM, Cognito, and Okta integration for enterprise SSO.
- Build platform components such as memory stores, policy enforcement engines, and browser tooling.
- Deploy and operate gateways including MCP Gateway (AgentCore/Kong) and LLM Gateway for multimodel routing.
- Manage containers and compute resources using Docker builds, ECR registries, EKS clusters, and EC2 instances.
- Author Infrastructure as Code (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 with CloudWatch, X-Ray, Splunk, and New Relic dashboards and alerting.
- Design platform APIs supporting REST, SOAP, GraphQL, OAuth2, streaming protocols, and A2A communication.
Requirements:
- 5 years of AWS platform engineering experience with Bedrock, AgentCore, and EKS/ECR.
Required Skills:
- Expertise in Terraform IaC (modules, county management, AWS providers) and Jenkins pipeline development.
- Deep experience with gateways (Kong, MCP servers, LLM routing, rate limiting, guardrails).
- Strong skills in observability implementation across CloudWatch, X-Ray, Splunk, and New Relic stacks.
- Knowledge of enterprise identity patterns (IAM roles/SCPs, Cognito federation, Okta SSO).
- Experience in distributed systems design for multi-tenant AI platforms with fault tolerance and compliance.
Preferred Skills:
- Good verbal and written communication skills.
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