ZR_3101_JOB

Simple Solutions; Jacksonville (FL); Hybrid; USD 180,000 - 230,000; Full time

Job summary

Simple Solutions in Jacksonville, United States is seeking a Senior GenAI DevOps Engineer /AI Engineer to design, develop, and deploy AI agents and robust CI/CD pipelines.

The role blends AI agent development (60%) with DevOps/CI/CD engineering (40%), requires travel to client sites, and a strong background in AWS Bedrock and agent runtimes.

Qualifications

• 10-15+ years overall tech experience with GenAI or agentic AI development.
• Hands-on experience deploying AI agents into production on AWS.
• Experience building and deploying agent workflows and tool calls.

Responsibilities

• Design, build, and deploy AI agents using Claude Agent SDK.
• Create agent workflows with Python or TypeScript and tool calls.
• Deploy agents on Bedrock AgentCore Runtime and manage CI/CD via GitHub Actions.
• Configure AWS IAM, ECR, and container packaging; ensure security and observability.
• Monitor production AI agents and optimize performance.

Skills

Amazon Bedrock AgentCore Runtime

GitHub Actions

Python

TypeScript

AWS Bedrock

Docker

IAM

MCP and tool calling

Tools

AWS ECR

Job description

GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel

Jacksonville, United States

Senior GenAI DevOps Engineer /AI Engineer - Remote/Hybrid with Travel

The key is time zone coverage and so we can expand our search across the West Coast - remote/hybrid but necessarily located in the western time zones . You must be comfortable to travel to the client site for workshops/meetings.

• Senior GenAI DevOps Engineer /AI Engineer who has 10-15+ years overall experience and 6-8 years building AI agents and deploying them into production on AWS.
  

The role combines AI agent development (60%) and DevOps/CI/CD engineering (40%). This is a suggested split based on the responsibilities you've described.

Job Description – AI Agent Engineer (Claude SDK / AWS AgentCore / GitHub Actions)

Experience: 10-15+ years overall, including hands‑on GenAI or agentic AI development.

Key responsibilities

• Design, develop, and implement AI agents using the Claude Agent SDK (formerly Claude Code SDK).
  
• Build agent workflows using Python or TypeScript, including tool calling, MCP integrations, and API orchestration.
  
• Deploy and manage AI agents on Amazon Bedrock AgentCore Runtime.
  
• Develop automated CI/CD pipelines using GitHub Actions for agent builds, testing, and deployments.
  
• Configure AWS IAM, ECR, Docker/container packaging where applicable, and cloud security.
  
• Monitor, troubleshoot, and optimize production AI agent performance.
  
• Implement secure authentication, logging, monitoring, and observability.
  

Skills to look for

Skill

Priority

What to verify

Must-have

Amazon Bedrock AgentCore Runtime

Must-have

Actual agent deployment and runtime configuration

GitHub Actions

Must-have

Building CI/CD pipelines independently

Python or TypeScript

Must-have

Strong coding and API integration

AWS Bedrock

Must-have

Model integration and AWS ecosystem knowledge

Docker, AWS ECR, IAM

Strongly preferred

MCP and tool calling

Strongly preferred

Building agents that execute external tools