Sr. AI Cloud Engineer Agentic AI, Python, AWS Bedrock & Terraform

ICONMA, LLC

  • Charlotte, NC
  • 6 days ago
  • $64.29–$67.86 Per Hour

Highlights

Work with AWS / GCP services including: IAM, Lambda, API Gateway, ECS, Bedrock, DynamoDB, RDS, S3 etc., Step Functions. Develop orchestration workflows enabling AI agents to interact with enterprise systems and cloud platforms.

Numbers & Facts

LocationCharlotte, NC
Salary$64.29–$67.86 Per Hour

Description

Our Client, an IT Services and Consultant company, is looking for a Sr. AI Cloud Engineer – Agentic AI, Python, AWS Bedrock & Terraform for their Charlotte, NC location.
 
Responsibilities:

  • Agentic ai platform development
  • Design and build scalable agentic ai platforms using services such as:
  • AWS Bedrock AgentCore
  • Amazon Bedrock Agents, Google Vertex AI Agent Builder
  • LangGraph, LangChain
  • MCP, Agent Observability, Agent Evaluations, Agent Gateways, Policies, KBs, etc.
  • Develop orchestration workflows enabling AI agents to interact with enterprise systems and cloud platforms.
  • Build reusable agent frameworks, tools, memory mechanisms, and workflow orchestration capabilities.
  • Integrate LLMs, RAG pipelines, vector databases, and enterprise APIs.
  • Backend engineering
  • Design and develop production-grade RESTful APIs using:
  • Python, FastAPI, Pydantic
  • API security, OAuth/JWT authentication
  • Build MCP Servers and API layers that:
  • Receive infrastructure requests
  • Validate policies and governance controls
  • Execute Terraform workflows
  • Track provisioning status, Return deployment results
  • Develop secure service-to-service communication patterns.
  • Infrastructure automation
  • Build APIs and automation services capable of:
  • Invoking Terraform modules
  • Running infrastructure deployment pipelines
  • Managing cloud resource provisioning
  • Enforcing organizational governance standards
  • Design self-service infrastructure provisioning platforms.
  • Develop reusable Terraform modules and CI/CD deployment pipelines.
  • Cloud engineering
  • Design and implement secure cloud-native solutions across AWS environments.
  • Work with AWS / GCP services including:
  • IAM, Lambda, API Gateway, ECS, Bedrock,
  • DynamoDB, RDS, S3 etc., Step Functions
 
Requirements:
  • Technical Skills
  • Backend Development
  • 5+ years of software engineering experience.
  • Strong Python development experience.
  • Hands-on experience with:
  • FastAPI, REST APIs, Async programming
  • Experience designing microservices architectures.
  • Infrastructure as code
  • Understanding of Terraform IaC
  • Experience using Terraform modules.
  • Experience integrating Terraform into CI/CD pipelines.
  • Knowledge of infrastructure provisioning workflows and governance controls.
  • AWS Cloud
  • AWS Bedrock AgentCore
  • Amazon Bedrock Agents / Google Vertex AI
  • LangGraph / LangChain / CrewAI
  • MCP (Model Context Protocol)
 
Why Should You Apply?

 

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