Enterprise AI Platform & Agent Teams (AWS/Bedrock/AgentCore/AI) || 100% Remote - 5 Roles

Hello , My name is Rajat, and I am a Technical Recruiter at K-Tek Resourcing. We are searching for professionals for the below business requirements for one of our clients. Please send me your updated resume at - rajat.rathore@ktekresourcing.com . JD 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) Agent Building Team Job Description The Agent Building Team develops intelligent agents and business applications consuming the Enterprise AI Platform. Focus is on agent orchestration, evaluation frameworks, and domainspecific workflows using platform primitives. Key Responsibilities: • Build agents using AWS Strands SDK, Bedrock AgentCore SDK, and CrewAI orchestration • Develop agent logic and troubleshooting using strong Python skills • Implement comprehensive evaluation frameworks for model performance and RAG quality • Create backend services with Python and integrate with platform APIs • Build frontend experiences using React JS and Node JS frameworks • Manage source code with Git/Bitbucket using agile development practices • Design and debug agent behaviors for production reliability and business outcomes • Integrate domain-specific RAG pipelines and evaluation metrics • Consume platform services (gateways, MCP tools, observability) following security patterns Required Skills & Experience: • 4+ years Python development with AI/ML frameworks (CrewAI, LangChain, or equivalent) • Hands-on experience building production agents with Bedrock AgentCore SDK , Strands SDK/Crew AI • Strong evaluation framework development (LLM judging, RAG metrics, agent success criteria) • Full-stack development experience (React JS frontend, Node JS/Python backend) • Agent debugging and observability skills for complex multi-agent workflows • Experience consuming enterprise API platforms (REST/GraphQL/OAuth2) securely Nice to Have: • Domain expertise in financial services use cases for agentic AI • Multimodal agent development (text + image/audio processing) • Previous CrewAI production deployments with custom tools and memory management