Sr AWS AgentCore Platform Engineer

Robert Half
Marysville, United States of America
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Marysville, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Cloud Engineering
Python
Web Application Frameworks
Generative AI
Cloudformation
Build Management
AI Platforms
Machine Learning Operations
Virtual Agents
Api Gateway
Terraform

Job description

Join a Fortune 500 company in Marysville, OH as they build and scale a cutting-edge enterprise AI platform. This role will focus on designing and engineering cloud-native infrastructure to support generative AI and agent-driven solutions across the business., * Design and build scalable AI platform architecture on AWS, supporting enterprise-wide adoption of generative AI

  • Develop and deploy AI agents and RAG-based solutions using modern frameworks and tools
  • Implement Infrastructure-as-Code (Terraform, CDK, CloudFormation) and CI/CD pipelines for rapid, reliable delivery
  • Establish best practices for LLMOps, observability, and production AI system performance
  • Integrate third-party AI services (OpenAI, Anthropic, etc.) into a unified enterprise platform
  • Ensure security, governance, and cost optimization across all AI platform components

Requirements

  • 7+ years of experience in cloud or platform engineering
  • Strong AWS expertise (Lambda, ECS/EKS, API Gateway, etc.) and cloud-native architecture
  • Hands-on experience with generative AI platforms (Bedrock, OpenAI APIs, etc.)
  • Experience with agentic AI frameworks (AgentCore, LangGraph, CrewAI, or similar)
  • Proficiency in Python and building scalable backend systems
  • Background in Infrastructure-as-Code and CI/CD pipelines
  • Experience with RAG architectures, vector databases, and production AI systems

This is a high-impact role driving the transition from experimental AI use cases to enterprise-scale, production AI platforms.

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