GenAI-Driven AWS Cloud Architect for Scalable AI Platforms

Tata Consultancy Services; Oakland (CA); On-site; USD 160,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Medical Coverage

Maternal & Parental Leaves

401K Plan

Certification & Training Reimbursement

Job summary

Tata Consultancy Services in Oakland, CA, is seeking a Lead AWS Architect to design and govern a scalable, secure cloud architecture for AI-enabled multi-agent and GenAI solutions integrated with enterprise systems.

Ideal candidates bring 12–18 years IT experience, 6–9+ years AWS cloud architecture, and hands-on delivery of AI-enabled AWS solutions. Strong SRE, security, and DevOps skills are expected.

Qualifications

• Design and govern AWS cloud architecture for scalable, secure multi-agent and GenAI solutions.
• Experience with containerized microservices and orchestration.
• Experience with security architecture, data protection, and compliance.

Responsibilities

• Design end-to-end AWS architecture for large-scale AI and multi-agent platform.
• Architect scalable microservices using ECS, ECR and containerized workloads.
• Set up core agent services and security architecture for external agents.
• Define GenAI, RAG, and agent orchestration 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 and FinOps cost optimization; ensure production readiness.

Skills

AWS architecture

ECS & ECR

Docker

Terraform

CI/CD

GenAI/LLMOps

MLOps

Agent orchestration

Education

Bachelor of Computer Science

Tools

Terraform

Docker

Job description

Tata Consultancy Services in Oakland, CA, is seeking a Lead AWS Architect to design and govern a scalable, secure cloud architecture for AI-enabled multi-agent and GenAI solutions integrated with enterprise systems.

Ideal candidates bring 12–18 years IT experience, 6–9+ years AWS cloud architecture, and hands-on delivery of AI-enabled AWS solutions. Strong SRE, security, and DevOps skills are expected.