Senior Agentic AI Architect

Tasks

• Design, develop and deploy enterprise-grade Agentic AI systems.
• Build intelligent AI agents capable of reasoning, planning and tool execution.
• Develop context management, memory retrieval and prompt optimization strategies.
• Build reliable agent execution frameworks with retries, validation and automated testing.
• Implement multi-agent workflows and task delegation.
• Develop MCP servers and enterprise application integrations.
• Build RAG pipelines using PostgreSQL and pgvector.
• Deploy FastAPI and Next.js applications on AWS EKS using Docker and Kubernetes.
• Implement security, SSO, access controls and human-in-the-loop approvals.
• Establish agent monitoring, observability, testing and performance optimization.
• Own end-to-end architecture, development, integration and deployment.

Requirements

• AWS AgentCore – Runtime, Memory, Gateway, Identity, Policy and Observability.
• AWS Bedrock.
• Context Engineering.
• Harness Engineering.
• Python and FastAPI.
• Agentic AI development and production deployment.
• Multi-Agent Orchestration – LangGraph / Strands Agents.
• Proactive AI Automation and workflow orchestration.
• Enterprise Knowledge Integration and RAG.
• USA-based candidates only.
• AWS IAM, Secrets Manager, ECR, Aurora PostgreSQL, SQS, EventBridge and CloudWatch.
• Next.js, TypeScript, Helm and Kubernetes.
• Cedar / ABAC policies and enterprise security.
• Agent Memory and State Management.
• Digital Cloud Chef, Amazon Connect and Oracle Fusion Distributed Order Orchestration

Schedule

• Onsite
• W-2 Contract

How to apply

• Send resumes by email.
• Contact via WhatsApp.
• W-2 resumes only.
• Please do not share C2C resumes.

Location

• Tampa, FL, USA