AI Platform Architect
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Role details
Tech stack
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Job description
- Design end-to-end architectures for AI platforms leveraging RAG, agentic systems, and LLM-based applications.
- Define and implement agentic patterns, including streaming, asynchronous workflows, multi-agent orchestration, and agent harness and skill development.
- Architect platform components such as:
- AI/LLM Gateways
- Agent frameworks, identity layers, and skill orchestration
- MCP gateways, servers, and tools
- Observability and monitoring systems
- Build scalable solutions on Kubernetes and serverless cloud services.
- Lead architecture initiatives across Google Cloud Platform (GCP) and/or Amazon Web Services (AWS).
- Drive best practices for the reliability, scalability, and performance of AI systems.
- Translate complex AI capabilities into clear architectural narratives and business solutions.
Requirements
Seeking an experienced GCP and AI Platform Architect to design and lead next-generation AI systems built on LLMs and agentic frameworks. This role focuses on architecting scalable, production-grade AI platforms across cloud environments, with a strong emphasis on RAG, agent orchestration, agent harness/skill building, observability, and gateway patterns., * 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.
- Proficiency in Python and JavaScript.
- Strong communication, stakeholder management, and architecture storytelling skills., * Experience with multi-agent frameworks (e.g., LangGraph, ADK) and emerging agent ecosystems.
- Familiarity with LLMOps, evaluation frameworks, and AI governance.
- Hands-on experience with GCP services, including:
- BigQuery
- Cloud Composer
- Dataflow
- Dataproc
- Cloud Functions
Benefits & conditions
The pay range that the employer in good faith reasonably expects to pay for this position is $40.86/hour - $63.84/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
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