AWS Cloud Architect (AI/GenAI)

Cynosure Technologies LLC

San Francisco, CA, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Cloud Computing Cloud Engineering Cyber Security Continuous Integration Data Security DevOps Monitoring of Systems Identity and Access Management

+15 more

SAP (Applications) Cloud Platform System System Availability Delivery Pipeline Multi-Agent Systems Amazon Virtual Private Cloud (VPC) Build Management Containerization AI Platforms Deployment Automation Machine Learning Operations Api Gateway Terraform Docker Microservices

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., * 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

Requirements

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)