AI Cloud Engineer (Agentic AI Platforms & Infrastructure Automation)

Job Title: AWS AI Cloud Engineer (Agentic AI Platforms & Infrastructure Automation)
Location: Charlotte, NC – Onsite
Tax Term (W2, C2C): W2
Job Type (Permanent/Contract): Contract
Duration: Long Term

Description:

We are seeking a skilled AWS AI Cloud Engineer with strong backend engineering and cloud infrastructure automation expertise to design, develop, and operate cloud-native platforms that support Agentic AI solutions. The ideal candidate will have hands-on experience with Python, FastAPI, AWS cloud services, Terraform, and modern AI orchestration frameworks such as LangGraph, LangChain, AWS Bedrock Agents, or Google Vertex AI.

This role combines AI platform engineering, backend API development, and Infrastructure as Code (IaC) automation. The engineer will develop Python-based services to orchestrate AI agents, integrate enterprise systems, and automate infrastructure provisioning across cloud environments while ensuring security, scalability, and governance.

Role and Responsibilities:

• Design, develop, and maintain scalable Agentic AI platforms using AWS Bedrock AgentCore, Amazon Bedrock Agents, Google Vertex AI Agent Builder, LangGraph, LangChain, or CrewAI.

• Build AI agent orchestration workflows that interact with enterprise applications, APIs, and cloud infrastructure.

• Develop reusable agent frameworks, tools, memory mechanisms, and workflow orchestration capabilities.

• Integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, vector databases, and enterprise APIs.

• Design and develop production-grade RESTful APIs and backend services using Python, FastAPI, and Pydantic.

• Build Model Context Protocol (MCP) servers and API layers to receive infrastructure requests, validate governance policies, execute Terraform workflows, track provisioning status, and return deployment results.

• Implement secure API integrations using OAuth, JWT authentication, and service-to-service communication patterns.

• Develop automation services to invoke Terraform modules, execute infrastructure deployment pipelines, and manage cloud resource provisioning.

• Design self-service infrastructure provisioning platforms with appropriate governance, security, and policy enforcement controls.

• Develop reusable Terraform modules and integrate infrastructure automation into CI/CD pipelines.

• Design and implement secure, scalable cloud-native solutions across AWS and, where required, Google Cloud Platform (GCP).

• Work with AWS services including IAM, Lambda, API Gateway, ECS, Amazon Bedrock, DynamoDB, RDS, S3, and Step Functions.

• Monitor platform performance, troubleshoot issues, and ensure the reliability, security, and scalability of AI and cloud infrastructure.

Required Skills:

• Strong Python programming and backend development expertise.

• Hands-on experience with FastAPI, Pydantic, REST APIs, and asynchronous programming.

• Experience designing and developing microservices architectures.

• Understanding of Terraform and Infrastructure as Code (IaC), including reusable Terraform modules.

• Experience integrating Terraform workflows into CI/CD pipelines.

• Knowledge of infrastructure provisioning workflows, automation, and governance controls.

• Experience with AWS cloud services, particularly IAM, Lambda, API Gateway, ECS, Bedrock, DynamoDB, RDS, S3, and Step Functions.

• Hands-on experience with one or more Agentic AI platforms or frameworks, such as:

  • AWS Bedrock AgentCore and Amazon Bedrock Agents

  • Google Vertex AI Agent Builder

  • LangGraph, LangChain, or CrewAI

• Knowledge of Model Context Protocol (MCP) and MCP server development.

• Understanding of LLM integrations, RAG pipelines, vector databases, agent orchestration, and enterprise API integrations.

• Knowledge of API security, OAuth/JWT authentication, and secure service-to-service communication.

• Familiarity with CI/CD tools, cloud deployment pipelines, and cloud-native application development.

Qualifications:

• 5+ years of software engineering experience, with strong hands-on Python development expertise.

• Proven experience developing production-grade backend services and APIs.

• Practical understanding of AWS cloud architecture and infrastructure automation.

• Experience building or integrating AI agents using modern agentic AI platforms and orchestration frameworks.

• Experience automating cloud infrastructure provisioning using Terraform and integrating it with deployment pipelines.

• Strong understanding of cloud security, governance, scalability, and operational best practices.

• Excellent analytical, problem-solving, troubleshooting, and collaboration skills.

• Ability to work onsite in Charlotte, NC.