About the Role
Purple Fabric is looking for a Product Architect to own the architecture and technical evolution of its enterprise AI platform. You will shape how core platform capabilities are designed, how the platform scales and how it operates reliably in production. Working closely with Product and Engineering teams, you will make critical architecture decisions, translate customer and business needs into reusable platform capabilities, and drive technical improvements from concept through release. This is a hands-on leadership role with significant decision-making authority and accountability for product outcomes. You will combine architectural depth, engineering expertise and a robust understanding of enterprise AI to influence the platform's technical direction. What You Will Own 1. Core Platform Architecture
• Define service boundaries, APIs and shared architectural patterns across agent design, runtime, knowledge and governance.
• Make day-to-day architecture decisions and recommend changes that influence the platform's technical direction. 2. Platform Capability Design
• Shape platform capabilities in partnership with Product, using roadmap priorities, product usage, production performance and customer feedback.
• Translate recurring customer and business requirements into reusable platform capabilities.
• Establish measurable outcomes to assess the impact of new capabilities. 3. Proofs of Concept and Technical Validation
• Lead time-boxed POCs to validate new platform capabilities and high-risk architectural decisions.




• Define success criteria and test solutions using representative enterprise workloads.
• Use evidence and results to decide what to build, refine or discontinue. 4. Production Scale and Reliability
• Define measurable targets for platform capacity, latency, availability and cost.
• Guide Engineering and QA teams in benchmarking, performance testing and failure-recovery validation.
• Ensure releases meet performance and security requirements. 5. Technical Execution and Ownership
• Prototype critical platform changes and review technical designs and code.
• Resolve cross-team technical blockers and drive architecture decisions through implementation.
• Follow capabilities from design through release and use production insights to guide continuous improvement. What You Bring
• Architecture at production scale: Experience architecting a live product operating at substantial scale. You can explain actual peak concurrency, throughput or workload volumes, the architectural decisions you owned and the outcomes measured.
• Enterprise product

experience:
Experience owning core architecture for products used by external enterprise customers.



You understand how to evolve shared capabilities across releases while addressing tenant isolation, integration and auditability.
• Recent architecture ownership: Ability to demonstrate a substantial product design or redesign undertaken within the past 12 months, including the trade-offs made and the resulting production impact.
• Applied enterprise AI: Experience designing and delivering AI capabilities for real-world enterprise use cases. You understand how to evaluate quality, latency and cost, and when to apply rules, guardrails or human approvals.
• Hands-on technical depth: Ability to prototype, review code and troubleshoot distributed systems using any programming language.
• Technical leadership and accountability: Experience driving technical decisions across teams and demonstrating ownership of product outcomes.

Experience:
Typically 8–12 years of relevant experience. Good to Have
• Experience building products for regulated industries.
• Familiarity with SaaS and customer-hosted deployment models.
• Experience applying AI-assisted engineering practices with appropriate review and testing gates. Our Commitment We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. Interested? If you have owned enterprise product architecture at scale and want to shape the next generation of enterprise AI platforms, we'd like to hear from you. Apply through this LinkedIn job listing or contact the recruiter listed in the accompanying recruitment post.

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