Senior Agentic AI Architect

Job ID: 115290-1

Job Title

Senior Agentic AI Architect

Location

Tampa, FL - ONSITE

Duration

6+ months

Pay Rate

$55-$60/hr on W2/C2C

Job Description

We are looking for a hands-on Senior Agentic AI Architect with deep expertise in AWS Agent Core, Context Engineering, and Harness Engineering to design, build, and deploy enterprise-grade AI assistants and intelligent automation solutions. The role requires strong experience in building production-ready agentic systems, integrating enterprise knowledge sources and applications, and developing secure, scalable solutions on AWS. The candidate should be comfortable owning the complete development lifecycle, from solution design and implementation to deployment and optimization, while delivering quickly based on business priorities.

Key Responsibilities

Agentic AI Development

Design and build intelligent AI agents capable of reasoning, planning, tool execution, and managing complex workflows with minimal human intervention.

AWS AgentCore (Mandatory)

Hands-on experience building and deploying agents using AWS AgentCore, including Runtime, Memory, Gateway, Identity, Policy, and Observability capabilities.

• AWS – Bedrock (Must Have)

Context Engineering (Mandatory)

Design effective context management strategies covering memory retrieval, conversation summarization, knowledge injection, prompt versioning, and context window optimization.

Harness Engineering (Mandatory)

Build reliable agent execution frameworks with tool-call orchestration, retry handling, structured output validation, capability routing, and automated testing.

Multi-Agent Orchestration

Develop and coordinate specialized AI agents using frameworks such as LangGraph or Strands Agents, including task delegation, state management, and workflow execution.

Proactive AI Automation

Build event-driven agents that can monitor relevant activities, identify actionable information, generate notifications, draft communications, and initiate authorized workflows.

Enterprise Knowledge & RAG

Develop knowledge ingestion and retrieval pipelines using PostgreSQL, pgvector, and RAG techniques, with appropriate knowledge governance and access controls.

MCP & Enterprise Integrations

Build MCP servers and clients to connect agents with enterprise applications, APIs, communication platforms, and internal knowledge systems.

AWS Cloud Engineering

Design and implement solutions using AWS IAM, Secrets Manager, ECR, Aurora PostgreSQL, SQS, EventBridge, and CloudWatch.

EKS & Containerization

Deploy and manage FastAPI and Next.js applications on Amazon EKS using Docker, Kubernetes, Helm, autoscaling, ingress, and AgentCore connectivity.

Full-Stack Development

Develop backend services using Python/FastAPI and frontend applications using Next.js and TypeScript.

Security & Access Management

Implement enterprise SSO, Cedar/ABAC policies, fine-grained authorization, secure data handling, and protection against unauthorized agent actions.

Human-in-the-Loop

Implement approval mechanisms and user controls for AI-generated communications, recommendations, and sensitive automated actions.

Agent Memory & State Management

Build persistent memory, personalized context, conversation continuity, and reliable asynchronous workflows with checkpointing and failure recovery.

Testing & Observability

Establish agent evaluation, execution tracing, monitoring, logging, and testing to ensure accuracy, reliability, security, and performance.

End-to-End Ownership

Take ownership of architecture, hands-on development, integration, testing, and deployment, with a strong focus on practical solutions, engineering quality, and rapid delivery.

Role Descriptions

The Senior Agentic AI Architect will design and build intelligent AI agents capable of managing complex workflows. They will oversee the complete development lifecycle| from solution design to deployment. The role includes developing knowledge ingestion pipelines and ensuring security in AI-generated communications. The architect will also implement testing and observability measures to ensure system reliability.

Essential Skills

Knowledge of enterprise knowledge ingestion and retrieval pipelines is beneficial. Familiarity with security and access management practices is a plus. Experience with containerization and deployment on EKS is advantageous. Understanding of human-in-the-loop mechanisms can enhance candidate suitability.Candidates must have strong experience in AWS AgentCore| Context Engineering| and Harness Engineering. Proficiency in Python development is also essential. Familiarity with multi-agent orchestration and proactive AI automation is required. Experience in building production-ready agentic systems is crucial for success in this role.

Skills

Digital

Cloud Chef~Digital

Python~Digital

Amazon Connect~AI and Automation~Harness~Oracle Fusion Distributed Order Orchestration

Experience Required

8-10