> Markdown version of [/jobs/ext/4428215-ai-platform-architect](https://www.wearedevelopers.com/jobs/ext/4428215-ai-platform-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Platform Architect

- **Company:** TransTech LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Engineering, Disaster Recovery, Distributed Systems, OpenShift, OpenAI, Azure Machine Learning, Software Deployment, Software Engineering, Google Cloud, Cloud Platform System, Retrieval-Augmented Generation, System Availability, Large Language Models, Multi-Cloud, Generative AI, Agentic-AI, AI Platforms, Kubernetes, Data Management, Machine Learning Operations, Hardware Infrastructure, Claude, Google Gemini, AIOps
- **Published:** October 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3ff20c71c3340b3e

## About the Role

We are looking for a Lead AI Platform Architect with strong hands-on experience designing and building enterprise-scale AI/ML platforms and cloud-native infrastructure.

The ideal candidate must be able to discuss their hands-on project experience in depth, particularly around Kubernetes/OpenShift, AI/ML platforms, MLOps/AI Ops, and cloud architecture.

This role will lead technical architecture, define long-term platform strategy, influence technology roadmaps, and drive cross-functional initiatives., Candidates should have strong hands-on experience with:

 * Kubernetes / OpenShift
 * AI/ML Platforms
 * MLOps / AI Ops
 * Cloud Architecture
 * Distributed Systems
 * Generative AI / LLM Platforms
 * RAG Architectures
 * Agentic AI
 * Model Serving
 * API Platforms
 * Data Platforms
 * High Availability & Disaster Recovery
 * Production-scale cloud-native platforms

Preferred Experience

 * 10+ years of experience in software engineering, infrastructure, and/or architecture.
 * 5+ years designing and implementing large-scale cloud-native platforms.
 * Experience with OpenShift AI / RHOAI, Google Cloud Platform Vertex AI, Azure AI Foundry, AWS Bedrock, or similar AI platforms.
 * Experience with GPU infrastructure and NVIDIA SuperPOD environments.
 * Experience architecting multi-cloud and multi-region platforms.
 * Experience with enterprise AI governance, security, observability, and guardrails.

What the Client Is Looking For

Hands-on technical depth is critical. Candidates should be able to clearly explain:

 * AI/ML platforms they have personally designed or implemented.
 * Kubernetes/OpenShift architecture and production deployments.
 * MLOps/AI Ops implementation.
 * Cloud architecture decisions and trade-offs.
 * GenAI, RAG, agentic AI, or model-serving projects.
 * Scalability, resiliency, HA, and DR strategies used in real production environments.

## Description

* Lead architecture and technical direction for:
 * Enterprise GenAI Platforms
 * Agentic AI Platforms
 * Model Serving Infrastructure
 * Agent Runtime Platforms
 * Prompt & Evaluation Frameworks
 * AI Governance & Guardrails
 * AI Observability & AI Operations
 * Design and drive multi-cloud AI platform architecture across:
 * OpenShift AI / RHOAI
 * Google Cloud Platform Vertex AI
 * Azure AI Foundry
 * AWS Bedrock
 * Gemini, Anthropic Claude, and OpenAI models
 * Define platform strategies for:
 * Kubernetes/OpenShift
 * GPU infrastructure
 * NVIDIA SuperPOD
 * Capacity planning
 * Multi-region architectures
 * High availability
 * Disaster recovery
 * Active-active architectures
 * Drive architecture for highly scalable, secure, resilient Tier-1 production platforms.
 * Partner with engineering, infrastructure, data, security, and business teams to establish technical roadmaps and architectural standards.