Senior AI Systems Architect - Multi-Tenant Cloud Platform

Capgemini; New York, Northern (NY, KY); Hybrid; USD 129,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Paid time off

401(k) plan

Job summary

Capgemini is seeking an experienced AI Systems Architect to design and scale a secure, multi-tenant Agentic AI horizontal SaaS product on GCP. You will lead design and development for autonomous and human-in-the-loop AI agents, distributed state management, checkpointing, and zero-trust security with strong tenant isolation.

Role emphasizes cloud-native architecture, reliability, and operational excellence on GCP, Kubernetes, and platform engineering for enterprise-scale AI solutions.

Qualifications

• Experience designing secure, distributed multi-tenant SaaS platforms.
• Proficiency in AI engineering with LLMs, agentic AI, and real-time steering.
• Knowledge of IAM, Zero Trust, and secure identity patterns.

Responsibilities

• Architect scalable, multi-tenant AI agent platform on GCP.
• Design distributed state, checkpointing, replay, and recovery capabilities.
• Lead cloud-native architecture, reliability, and operational excellence on GCP.
• Define tenant isolation, agent identity, security, and governance patterns.

Skills

Distributed systems

Multi-tenant SaaS

AI Engineering

LLMs

Agentic AI

RAG

State management

Zero Trust

IAM

GCP

Kubernetes

Tools

GCP

Kubernetes

Job description

Capgemini is seeking an experienced AI Systems Architect to design and scale a secure, multi-tenant Agentic AI horizontal SaaS product on GCP. You will lead design and development for autonomous and human-in-the-loop AI agents, distributed state management, checkpointing, and zero-trust security with strong tenant isolation.

Role emphasizes cloud-native architecture, reliability, and operational excellence on GCP, Kubernetes, and platform engineering for enterprise-scale AI solutions.