AI Cloud Engineer (Agentic AI Platforms & Infrastructure Automation)

Title: AI Cloud Engineer (Agentic AI Platforms & Infrastructure Automation)Location: Onsite - Charlotte, NC

Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.
Job SummaryWe are seeking a highly skilled AWS AI Cloud Engineer with strong backend engineering expertise tdesign, 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 tprovision 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 tmodern frontend technologies such as React is beneficial but not mandatory.
Key ResponsibilitiesAgentic AI Platform DevelopmentDesign and build scalable agentic AI platforms using services such as:AWS Bedrock AgentCoreAmazon Bedrock Agents, Google Vertex AI Agent BuilderLangGraph, LangChainMCP, Agent Observability, Agent Evaluations, Agent Gateways, Policies, KBs, etc.Develop orchestration workflows enabling AI agents tinteract 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 EngineeringDesign and develop production-grade RESTful APIs using:Python, FastAPI, PydanticAPI security, OAuth/JWT authenticationBuild MCP Servers and API layers that:Receive infrastructure requestsValidate policies and governance controlsExecute Terraform workflowsTrack provisioning status, Return deployment resultsDevelop secure service-to-service communication patterns.Infrastructure AutomationBuild APIs and automation services capable of:Invoking Terraform modulesRunning infrastructure deployment pipelinesManaging cloud resource provisioningEnforcing organizational governance standardsDesign self-service infrastructure provisioning platforms.Develop reusable Terraform modules and CI/CD deployment pipelines.Cloud EngineeringDesign 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
Required QualificationsTechnical SkillsBackend Development5+ years of software engineering experience.Strong Python development experience.Hands-on experience with:FastAPI, REST APIs, Async programmingExperience designing microservices architectures.Infrastructure as CodeUnderstanding of Terraform IaCExperience using Terraform modules.Experience integrating Terraform intCI/CD pipelines. xzbcwsv Knowledge of infrastructure provisioning workflows and governance controls.AWS CloudAWS Bedrock AgentCoreAmazon Bedrock Agents / Google Vertex AILangGraph / LangChain / CrewAIMCP (Model Context Protocol)