What are the responsibilities and job description for the AWS Cloud Architect with GenAI || San Francisco, CA position at McKinsol Consulting Inc?
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 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
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
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
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)
AWS Certified Solutions Architect Professional
AWS DevOps Engineer / Advanced Networking certifications (preferred)