Product Architect, Full Stack

Product Architect, Full Stack

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal

Location: Seattle, WA or Vancouver, BC (On-site)

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role:

We are hiring a Product Architect to own the end-to-end technical architecture across our portfolio of Agentic AI platforms and Data platforms. This is a hands-on architecture role that combines deep technical ownership with product thinking, spanning front end, back end, agent orchestration, data, cloud, and DevSecOps.

This role is ideal for a seasoned architect who can define and evolve the architecture of multi-tenant, multi-LLM, multi-framework agentic products and enterprise data platforms used by global clients. You will make key architecture decisions, set engineering standards, design for scale and extensibility, and act as the technical anchor across product, engineering, and client engagements.

You will work closely with product managers, engineering leads, data engineers, AI/ML engineers, and client-facing teams to translate roadmap priorities into robust, governable, and extensible architecture that works across multiple LLM providers (e.g., Claude, OpenAI, Gemini, open-source models) and agent frameworks (e.g., CrewAI, LangGraph, AutoGen, ADK).

Key Responsibilities

• Own the end-to-end architecture of agentic products across their surfaces: low-code/canvas workflow designers, conversational agent interfaces, CLI, IDE extensions, REST APIs, MCP servers, and web interfaces.
• Architect core abstraction layers: agent definition and orchestration (framework-agnostic), LLM abstraction and multi-model routing, and governance/observability across agents deployed org-wide.
• Design scalable, secure, multi-tenant architecture for enterprise deployment, including data isolation, RBAC, audit trails, and compliance controls appropriate for regulated client environments.
• Define architecture for agent-to-agent and agent-to-tool interoperability, including MCP server design, tool/connector patterns, and emerging agent interoperability protocols (e.g., A2A, ACP).
• Lead technical design for data platform capabilities: data pipelines, migrations, data quality, and semantic/knowledge layers (including knowledge graphs and ontologies) that ground AI and analytics on trustworthy, well-modeled data.
• Set and enforce architecture standards, design patterns, and documentation practices (architecture diagrams, ADRs, API contracts) across a distributed engineering organization.
• Evaluate build-vs-integrate decisions against the e...

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