New York Technology Partners

Title: AI Cloud Engineer (Agentic AI Platforms &amp; Infrastructure Automation)
Location: Onsite - Charlotte, NC
Job Summary
We 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 Responsibilities
Agentic AI Platform Development
<ul>
<li>Design and build scalable agentic AI platforms using services such as:</li>
<li>AWS Bedrock AgentCore</li>
<li>Amazon Bedrock Agents, Google Vertex AI Agent Builder</li>
<li>LangGraph, LangChain</li>
<li>MCP, Agent Observability, Agent Evaluations, Agent Gateways, Policies, KBs, etc.</li>
<li>Develop orchestration workflows enabling AI agents tinteract with enterprise systems and cloud platforms.</li>
<li>Build reusable agent frameworks, tools, memory mechanisms, and workflow orchestration capabilities.</li>
<li>Integrate LLMs, RAG pipelines, vector databases, and enterprise APIs.</li>
</ul>
Backend Engineering
<ul>
<li>Design and develop production-grade RESTful APIs using:</li>
<li>Python, FastAPI, Pydantic</li>
<li>API security, OAuth/JWT authentication</li>
<li>Build MCP Servers and API layers that:</li>
<li>Receive infrastructure requests</li>
<li>Validate policies and governance controls</li>
<li>Execute Terraform workflows</li>
<li>Track provisioning status, Return deployment results</li>
<li>Develop secure service-to-service communication patterns.</li>
</ul>
Infrastructure Automation
<ul>
<li>Build APIs and automation services capable of:</li>
<li>Invoking Terraform modules</li>
<li>Running infrastructure deployment pipelines</li>
<li>Managing cloud resource provisioning</li>
<li>Enforcing organizational governance standards</li>
<li>Design self-service infrastructure provisioning platforms.</li>
<li>Develop reusable Terraform modules and CI/CD deployment pipelines.</li>
</ul>
Cloud Engineering
<ul>
<li>Design and implement secure cloud-native solutions across AWS environments.</li>
<li>Work with AWS / GCP services including:</li>
<li>IAM, Lambda, API Gateway, ECS, Bedrock,</li>
<li>DynamoDB, RDS, S3 etc., Step Functions</li>
</ul>
Required Qualifications
Technical Skills
Backend Development
<ul>
<li>5+ years of software engineering experience.</li>
<li>Strong Python development experience.</li>
<li>Hands-on experience with:</li>
<li>FastAPI, REST APIs, Async programming</li>
<li>Experience designing microservices architectures.</li>
</ul>
Infrastructure as Code
<ul>
<li>Understanding of Terraform IaC</li>
<li>Experience using Terraform modules.</li>
<li>Experience integrating Terraform intCI/CD pipelines.</li>
<li>Knowledge of infrastructure provisioning workflows and governance controls.</li>
<li>AWS Cloud</li>
<li>AWS Bedrock AgentCore</li>
<li>Amazon Bedrock Agents / Google Vertex AI</li>
<li>LangGraph / LangChain / CrewAI</li>
<li>MCP (Model Context Protocol)</li>
</ul>

AI Cloud Engineer (Agentic AI Platforms & Infrastructure Automation)

AI Cloud Engineer (Agentic AI Platforms & Infrastructure Automation)

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