AI Platform Architect

Capgemini • Dallas, TX

1d • Onsite

About The Position

Design and implement AI platforms leveraging: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic AI and Multi-Agent Systems LangGraph, ADK, and similar frameworks Architect and govern: AI/LLM Gateways MCP Gateways and Servers Agent Frameworks Security and Identity Layers Observability and Monitoring Platforms Design scalable, event-driven, asynchronous, and multi-agent orchestration solutions. Lead deployment of AI workloads across: Google Cloud Platform (GCP) AWS Kubernetes Serverless platforms Establish standards for AI governance, security, reliability, compliance, and operational excellence. Collaborate with business and technology teams to deliver scalable AI solutions.

Requirements

• 10+ years of experience in Software, Platform, or Enterprise Architecture.
• Strong expertise in LLMs, RAG architectures, Agentic AI systems, and Multi-Agent Frameworks (LangGraph, ADK, etc.).
• Strong expertise in AI Platform Design and LLMOps and AI Governance.
• Cloud & Technology Skills: Google Cloud Platform (GCP), AWS, Kubernetes, Serverless Architectures.
• Proficiency in Python and JavaScript/TypeScript.
• Must-Have GCP Experience: BigQuery, Dataflow, Dataproc, Cloud Composer, Cloud Functions, Pub/Sub, Cloud Storage, GCP Security, Compliance, and Governance.

Responsibilities

• Design and implement AI platforms leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI and Multi-Agent Systems, and frameworks like LangGraph and ADK.
• Architect and govern AI/LLM Gateways, MCP Gateways and Servers, Agent Frameworks, Security and Identity Layers, and Observability and Monitoring Platforms.
• Design scalable, event-driven, asynchronous, and multi-agent orchestration solutions.
• Lead deployment of AI workloads across Google Cloud Platform (GCP), AWS, Kubernetes, and Serverless platforms.
• Establish standards for AI governance, security, reliability, compliance, and operational excellence.
• Collaborate with business and technology teams to deliver scalable AI solutions.

Benefits

• Paid time off based on employee grade (A-F), depending on grade: Vacation: 12-25 days
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed