Senior AI Solution Architect — AWS AgentCore & AI Agents

Cloud Analytics Technologies, LLC; Tallahassee (FL); On-site; USD 180,000 - 240,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a hands-on Senior Agentic AI Architect to design, build, and deploy enterprise-grade AI assistants and automation solutions. You will own the full lifecycle from solution design to deployment, focusing on agentic systems, context management, and multi-agent orchestration.

Qualifications include deep experience with AWS AgentCore, Bedrock, Python development, and production-grade AI architectures; knowledge of RAG, security ABAC, and EKS is required.

Qualifications

• Essential experience with AWS AgentCore (Runtime, Memory, Gateway, Identity, Policy, Observability) and AWS Bedrock.
• Knowledge of context management strategies (retrieval, summarization, prompt versioning) and execution frameworks (tool-call orchestration, retry handling).
• Experience in multi-agent orchestration and event-driven automation; production-grade agentic systems.
• Familiarity with RAG techniques, data ingestion pipelines, and PostgreSQL-based storage.

Responsibilities

• Agentic AI Development: design and build intelligent AI agents capable of reasoning, planning, tool execution, and managing complex workflows.
• AWS & AgentCore (Mandatory): hands-on work with AWS AgentCore and Bedrock to support runtime operations and observability.
• Context & Harness Engineering: implement context management and build execution frameworks with robust validation and tracing.
• Multi-Agent Orchestration & Automation: develop and coordinate specialized agents and event-driven automation.
• Enterprise Knowledge & RAG: develop ingestion and retrieval pipelines using PostgreSQL and pgvector; apply RAG techniques.
• Integrations & Cloud Engineering: implement AWS solutions using IAM, Secrets Manager, ECR, Aurora PostgreSQL, SQS, EventBridge, CloudWatch, and EKS.
• Full-Stack Development: develop backend with Python/FastAPI; frontend with Next.js/TypeScript.
• Security, Memory, & Observability: enforce SSO, ABAC policies, human-in-the-loop approvals, and persistent state management.

Skills

AWS AgentCore

Context Engineering

Harness Engineering

Python development

Multi-agent orchestration

Agentic systems

RAG ingestion

ABAC security

EKS containerization

FastAPI

Tools

AWS Bedrock

PostgreSQL

Aurora PostgreSQL

SQS

EventBridge

CloudWatch

IAM

Secrets Manager

ECR

Kubernetes

Next.js

TypeScript

Job description

Cloud Analytics Technologies, LLC is seeking a hands-on Senior Agentic AI Architect to design, build, and deploy enterprise-grade AI assistants and automation solutions. You will own the full lifecycle from solution design to deployment, focusing on agentic systems, context management, and multi-agent orchestration.

Qualifications include deep experience with AWS AgentCore, Bedrock, Python development, and production-grade AI architectures; knowledge of RAG, security ABAC, and EKS is required.