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AWS Cloud Architect with GenAI || San Francisco, CA

San Francisco, CA, US • Posted 1 day ago • Updated 1 day ago

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Contract W2

Contract Independent

Travel Required

On-site

Depends on Experience

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Job Details

Skills

Microservices
Geographic Information System
High Availability
DevOps
Docker
EES
Computer Networking
Continuous Delivery
Artificial Intelligence
Cloud Architecture
Cloud Computing
API
Machine Learning Operations (ML Ops)
Optimization
Orchestration
Continuous Integration
Data Architecture
Encryption
Generative Artificial Intelligence (AI)
Access Control
Amazon EC2
Amazon S3
Amazon Web Services
Terraform
Virtual Private Cloud
Collaboration
Regulatory Compliance
SAP
Security Architecture
Software Design

Summary

AWS Cloud Architect - GenAI & Multi-Agent Platforms

San Francisco, CA
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)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10299481
Position Id: 9009214
Posted 1 day ago

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Sachin Agrawal

IT Recruiter @ McKinsol Consulting Inc

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