Senior AI Platform Architect — LLMs, RAG & Multi-Agent

Capgemini

Dallas (TX)

On-site

USD 89,000 - 207,000

Full time

5 days ago

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Benefits offered by this job

Medical, dental, and vision

401(k)

Paid time off

Life and disability insurance

Employee assistance programs

Job summary

Capgemini seeks an experienced AI Platform Architect to design and lead enterprise-scale AI platforms powered by LLMs, RAG, Agentic AI, and Multi-Agent Systems. You will govern AI gateways, security layers, and observability while enabling scalable AI capabilities across the enterprise.

The role requires leading deployments on GCP, AWS, Kubernetes, and serverless platforms, with a focus on governance, reliability, and collaboration with business teams.

Qualifications

>10+ years of experience in Software, Platform, or Enterprise Architecture.
• Strong expertise in LLMs, RAG, Agentic AI, and Multi-Agent frameworks.
• Proficient in AI platform design, LLMOps, and governance.

Responsibilities

>Design and lead enterprise AI platforms powered by LLMs, RAG, Agentic AI, and Multi-Agent Systems.
- Architect and govern AI gateways, MCP gateways, agent frameworks, and security layers.
- Lead deployment of AI workloads on GCP, AWS, Kubernetes, and serverless platforms.
- Establish standards for governance, security, reliability, and observability.

Skills

LLMs

RAG architectures

Agentic AI

Multi-Agent Frameworks

AI Platform Design

LLMOps

AI Governance

GCP

AWS

Kubernetes

Serverless

Python

TypeScript

LangGraph

ADK

Tools

GCP

AWS

Kubernetes

Serverless

Python

TypeScript

LangGraph

ADK

Job description

The role requires leading deployments on GCP, AWS, Kubernetes, and serverless platforms, with a focus on governance, reliability, and collaboration with business teams.

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