AWS Cloud Engineer With AI (Agentic AI Platforms & Infrastructure Automation

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Role: AWS AI Cloud Engineer (Agentic AI Platforms & Infrastructure Automation)
Loction: Onsite - Charlotte, NC (Near by Locations only)

Job Summary
We are seeking a highly skilled AWS AI Cloud Engineer with strong backend engineering expertise to design, develop, and operate cloud-native platforms that enable Agentic AI solutions. The ideal candidate will have hands-on experience with modern AI orchestration frameworks and cloud AI services such as AWS Bedrock AgentCore, Amazon Bedrock Agents, Google Vertex AI, or similar agentic AI platforms.




This role combines AI platform engineering, backend API development, and infrastructure automation. The engineer will develop Python-based services that orchestrate AI agents, interact with cloud resources, and invoke Terraform modules to provision and manage infrastructure across cloud environments.
The successful candidate should have strong experience in Python, FastAPI, AWS cloud services, and Infrastructure as Code (Terraform). Exposure to modern frontend technologies such as React is beneficial but not mandatory.




Key Responsibilities
Agentic AI Platform Development
Design and build scalable agentic AI platforms using services such as:
o AWS Bedrock AgentCore
o Amazon Bedrock Agents, Google Vertex AI Agent Builder
o LangGraph, LangChain
o 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:
o Python, FastAPI, Pydantic
o API security, OAuth/JWT authentication
Build MCP Servers and API layers that:
o Receive infrastructure requests
o Validate policies and governance controls
o Execute Terraform workflows
o Track provisioning status, Return deployment results
Develop secure service-to-service communication patterns.

Infrastructure Automation
Build APIs and automation services capable of:
o Invoking Terraform modules
o Running infrastructure deployment pipelines
o Managing cloud resource provisioning
o 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:
o IAM, Lambda, API Gateway, ECS, Bedrock,
o DynamoDB, RDS, S3 etc., Step Functions




Required Qualifications
Technical Skills
Backend Development
5+ years of software engineering experience.
Strong Python development experience.
Hands-on experience with:
o 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)