Job 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? • Health Benefits • Referral Program • Excellent growth and advancement opportunities

Requirements

Must-haves

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.
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
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
Invoking Terraform modules
Running infrastructure deployment pipelines
Managing cloud resource provisioning
Enforcing organizational governance standards

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonawsapici/cdgcprest

Platform: jobdiva
Effort: medium

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