What are the responsibilities and job description for the AWS Cloud Architect - San Francisco, CA, onsite job position at Cynosure Technologies LLC?
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)