AI Platform Architect - LLMs, RAG & Kubernetes Expert

Capgemini; Dallas (TX); On-site; USD 56,000 - 88,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement plan

Job summary

Tundra Technical Solutions is seeking an experienced GCP and AI Platform Architect to design and lead next-generation AI systems built on LLMs and agentic frameworks. The role focuses on scalable, production-grade AI platforms across cloud environments with emphasis on RAG, agent orchestration, observability, and gateway patterns.

Responsibilities include designing end-to-end architectures, implementing agentic patterns, and driving reliability and performance.

Qualifications

• 8+ years of software architecture experience with a strong focus on distributed systems.
• Proven experience with LLMs, RAG architectures, and agentic systems, including agent harness and skill development.
• Deep understanding of agent orchestration, asynchronous processing, and streaming architectures.
• Strong hands-on expertise with Kubernetes and cloud-native/serverless architectures.
• Experience designing AI platform components, including gateways, observability platforms, and agent infrastructure.

Responsibilities

• Design end-to-end architectures for AI platforms leveraging LLMs and agentic systems.
• Define and implement agentic patterns, including streaming, asynchronous workflows, multi-agent orchestration, and agent harness and skill development.
• Architect platform components such as gateways, agent frameworks, identity layers, and skill orchestration.
• Build scalable solutions on Kubernetes and serverless cloud services across GCP and AWS.
• Translate complex AI capabilities into clear architectural narratives and business solutions.

Skills

Distributed systems

LLMs & RAG

Agent orchestration

Streaming architectures

Asynchronous processing

Architecture storytelling

Communication & stakeholder mgmt

Tools

Kubernetes

LangGraph

ADK

GCP

AWS

Job description

Tundra Technical Solutions is seeking an experienced GCP and AI Platform Architect to design and lead next-generation AI systems built on LLMs and agentic frameworks. The role focuses on scalable, production-grade AI platforms across cloud environments with emphasis on RAG, agent orchestration, observability, and gateway patterns.

Responsibilities include designing end-to-end architectures, implementing agentic patterns, and driving reliability and performance.