Hi All
Please share the profiles on priority as per the below JD for GEN AI Developer & Tech Lead-Infra:
Grade: 4C/5A
Location: All BSL except Mumbai
Enterprise AI Platform Team Job Description:
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 (multimodel 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)
Hi All Please share the profiles on priority as per the below JD for GEN AI Developer & Tech Lead-Infra: Grade: 4C/5A Location: All BSL except Mumbai Enterprise AI Platform Team Job Description: The Enterprise AI Platform Team builds and maintains the secure scalable AWS foundation for age...
Hi All
Please share the profiles on priority as per the below JD for GEN AI Developer & Tech Lead-Infra:
Grade: 4C/5A
Location: All BSL except Mumbai
Enterprise AI Platform Team Job Description:
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 (multimodel 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)
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