AWS Cloud Architect - GenAI & Multi-Agent Platforms

Design and govern AWS cloud architecture for SP&D AI platform, enabling scalable, secure, and compliant multi-agent and GenAI solutions integrated with utility systems (SAP, GIS, EES), ensuring high availability, performance, and cost optimization. Job Responsibilities Design end-to-end AWS architecture for largescale AI and multi-agent platform Architect scalable microservices using ECS, ECR and containerized workloads Setup, configure Agent core services Architect, Design and Build security architecture for external agents Define GenAI, RAG, and agent orchestration architecture frameworks Establish secure data architecture including S3, encryption, and access controls Implement CI/CD pipelines and DevOps automation for deployments Integrate enterprise systems (SAP, GIS, EES) with cloud platform Enable observability, monitoring, and FinOps cost optimization Enforce security, compliance, and Responsible AI guardrails Collaborate with AI, data, and business teams for solution design Review and approve architecture ensuring production readiness Skillset

Strong AWS architecture expertise (ECS, ECR, EC2, S3, IAM, VPC, API Gateway) Experience with AWS agent frameworks (AgentCore/AgentCode) for orchestration Hands-on experience with Docker and containerized microservices architecture Proficiency in Infrastructure as Code using Terraform Strong DevOps expertise in CI/CD and automation pipelines AI / AIDLC & GenAI Skills Experience across AIDLC (AI Development Lifecycle) including design, build, deploy, and monitoring Expertise in GenAI, foundation models, and RAG-based solutions Experience in multi-agent orchestration frameworks (AgentCore/LangGraph type) Knowledge of MLOps / LLMOps, model monitoring, and Responsible AI practices Experience 12 18 years of overall IT experience 6 9+ years of experience in AWS cloud architecture Proven experience as Lead AWS Architect across at least 3 large-scale AWS delivery programs Hands-on experience in delivering AI-enabled solutions using AWS AI services, ECS-based architectures, and enterprise system integrations Minimum 8 12 years of hands-on AWS implementation experience across cloud design and delivery Experience in utilities domain and enterprise AI transformation programs Certifications AWS Certified Solutions Architect Professional