Cloud Infrastructure Architect – AWS & Azure (GenAI)

About the Role
We are looking for a hands-on Cloud Infrastructure Architect to design, provision, and secure enterprise infrastructure across both AWS and Azure for Generative AI and multi-agent workloads. This is a build-it-yourself role: you will write and maintain the Terraform, Bicep, and Python that run the platform, not just review it. You will own the foundation under our AI solutions, including networking, identity, Kubernetes, the API and edge layer, security, and hybrid connectivity to on-premises systems.

Responsibilities

• Architect and operate enterprise cloud infrastructure across AWS and Azure for GenAI and agentic AI workloads
• Write and maintain Infrastructure as Code using Terraform, CloudFormation/CDK, and ARM/Bicep
• Build automation and operational tooling in Python (Boto3, Azure SDK for Python)
• Design secure networks: VPCs and Azure VNets, subnets, routing, peering and Transit Gateway, NAT, and segmentation for multi-tier apps
• Design identity and access: least-privilege IAM, Amazon Cognito, Azure AD/Entra ID, and service-to-service authentication
• Set up and secure Kubernetes clusters on EKS and AKS, including CNI, ingress, scaling, and workload security
• Build the API and edge layer with API Gateway, Lambda, CloudFront, and WAF
• Set up hybrid connectivity with AWS Site-to-Site VPN, Client VPN, and Azure VPN Gateway
• Stand up infrastructure for LLM hosting, RAG, vector databases, and multi-agent orchestration, including state, memory, tool integration, and observability
• Implement encryption, secrets management, audit logging, and compliance controls (SOC 2, HIPAA)
• Build CI/CD pipelines for multi-cloud delivery using Azure DevOps, GitHub Actions, or AWS-native tools
• Recommend services based on cost, scalability, latency, and operational tradeoffs
• Make sure solutions are resilient, cost-efficient, observable, and compliant with data privacy, model governance, and responsible AI standards

Required Skills

• Hands-on experience architecting and operating enterprise infrastructure on both AWS and Azure
• IaC: Terraform, CloudFormation and/or CDK, ARM and/or Bicep
• Python automation with Boto3 and the Azure SDK
• Networking: VPC/VNet design, Transit Gateway, peering, NAT, and segmentation
• Identity: IAM, Cognito, Entra ID, and federated authentication
• Kubernetes: EKS and AKS cluster setup, networking, scaling, and security
• API Gateway, Lambda, CloudFront, and WAF
• Security: security groups, encryption, secrets management, audit logging, and SOC 2/HIPAA controls
• Hybrid connectivity: AWS and Azure VPN Gateways
• AWS AI and data services: Bedrock, ECS/EKS, S3, Textract, Comprehend
• Azure services: App Services, API Management, Azure OpenAI, AI Search, Cognitive Services, Azure SQL
• CI/CD: Azure DevOps, GitHub Actions, or AWS CodePipeline
• GenAI and agentic architecture: LLM integration, orchestration layers, scaling, monitoring, and cost and security controls
• Strong communication skills and experience in agile, cross-functional teams

Highly Desirable

• RAG, including standard and agentic patterns
• Vector databases and data pipelines for GenAI
• Hybrid identity federation
• Data governance and model risk management for regulated workloads