AWS Cloud Architect (AI/GenAI) - San Francisco, CA, onsite job

AWS Cloud Architect (AI/GenAI) - San Francisco, CA, onsite job

Job Description
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
Core AWS & Cloud Skills
•       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
•       AWS DevOps Engineer / Advanced Networking certifications (preferred)