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

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