AWS Cloud Architect
Job #JOB-01034
๐ San Francisco, CA๐ผ CONTRACTOR
Core AWS & Cloud SkillsECSECREC2S3IAMVPCAPI Gateway
๐๐จ๐ ๐๐ข๐ญ๐ฅ๐: ๐๐๐ ๐๐ฅ๐จ๐ฎ๐ ๐๐ซ๐๐ก๐ข๐ญ๐๐๐ญ
๐๐จ๐๐๐ญ๐ข๐จ๐ง: ๐๐๐ง ๐
๐ซ๐๐ง๐๐ข๐ฌ๐๐จ, ๐๐
๐๐ฎ๐ซ๐๐ญ๐ข๐จ๐ง : ๐๐จ๐ง๐ญ๐ซ๐๐๐ญ (๐๐ง-๐ฌ๐ข๐ญ๐)
๐๐จ๐ ๐๐๐ฌ๐๐ซ๐ข๐ฉ๐ญ๐ข๐จ๐ง:
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.
๐๐จ๐ ๐๐๐ฌ๐ฉ๐จ๐ง๐ฌ๐ข๐๐ข๐ฅ๐ข๐ญ๐ข๐๐ฌ:
- 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
๐๐ค๐ข๐ฅ๐ฅ๐ฌ๐๐ญ:
- 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
๐๐/๐๐๐๐๐ & ๐๐๐ง๐๐ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ:
- 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
๐๐ฑ๐ฉ๐๐ซ๐ข๐๐ง๐๐:
โข 12โ18 years of overall IT experience
โข 6โ9+ years of experience in AWS cloud architecture
โข Proven experience as Lead AWS Architect across at least 3 large-scale AWS delivery programs
โข Hands-on experience in delivering AI-enabled solutions using AWS AI services, ECS-based architectures, and enterprise system integrations
โข Minimum 8โ12 years of hands-on AWS implementation experience across cloud design and delivery
โข Experience in utilities domain and enterprise AI transformation programs
๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ:
โข AWS Certified Solutions Architect Professional
โข AWS DevOps Engineer / Advanced Networking certifications (preferred)
Posted 6/25/2026 ยท Open until 8/24/2026
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