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Evolver Verified 2d ago

Product Solutions Architect

Palo Alto, CA On-site

Salary not listed
PaySalary not listed
TypeNot specified
Work settingOn-site
Verified listing

JobFig found this opening at its original source and checks that it remains available.

About the role

The Fusion Team is the critical orchestrator and translator of Evolver’s core platform value. Sitting at the center of Customers, Domain Experts, Applied Research (Fusion Labs), and Engineering, we own the methodology that grounds advanced theoretical research into validated, enterprise-scale capabilities for the ARIA platform. Our job is to close the loop between real-world customer expectations and engineering execution — turning complex scientific methodologies and raw platform capabilities into secure, mathematically robust, regulatory-compliant solutions that deliver measurable business value. We operate across four core pillars: Synthesis (the what & why), Calibration (the how), Validation (the proof), and Collaboration (the who & with whom). As a Fusion Architect, you own the hands-on solution calibration, configuration, and systemic integration required to make ARIA fit a customer’s environment. You execute the logical specifications defined by the Fusion Mandate and translate them into a calibrated, configured, and rigorously validated deployment — matching the platform to each client’s data requirements, risk factors, and operational constraints. This is a delivery-facing architect role that lives at the intersection of Evolver’s core functional areas of platform engineering, applied research, domain expertise, and customer success. Success is measured by the velocity and quality of validated capabilities successfully transferred to production and adopted by customers.

What you'll bring

  • Core Engineering Foundation: Master’s degree in Computer Science, Applied Mathematics, Applied Engineering Disciplines (Aerospace, Control Theory, Design Optimization), or equivalent practical experience.
  • Systemic Pipeline Experience: Hands-on experience tracing, debugging, and maintaining end-to-end data/AI pipelines from raw ingest to production output.
  • Multidisciplinary Domain Knowledge: Proven background in at least one primary technical domain (e.g., AI/Generative AI, data engineering, system design optimization, system integrations) with a demonstrated ability to work fluently across adjacent domains.
  • Regulatory & Compliance Fluency: Practical working knowledge of incorporating regulatory, audit, or enterprise risk constraints directly into technical software delivery.
  • Cross-Functional Communication: Excellent technical communication and translation skills — proven ability to articulate complex technical trade-offs to non-technical stakeholders, domain experts, and executive leaders.
  • Rapid Prototyping Skills: Demonstrated ability to build, test, and iterate rapidly in fast feedback loops, with the discipline to package custom solutions into scalable, reusable templates.
  • Core Engineering & Problem-Solving DNA: Foundational ability to architect robust, scalable, and technically sound solutions with strong problem-solving instincts and clean systems thinking.
  • Systemic Thinking: Ability to trace the full pipeline from raw data to enterprise-ready output and systematically reason about where it breaks or stalls.
  • Multidisciplinary Range: Deep expertise in at least one core domain combined with the ability to bridge gaps across engineering, research, and business strategy.
  • Regulatory & Deployment-Readiness Acumen: Working understanding of compliance standards and the ability to weave domain constraints directly into product delivery.
  • Translation Skills: Strong behavioral and communication skills to articulate complex technical trade-offs to non-technical stakeholders and collaborate across multidisciplinary squads.
  • Rapid-Prototyping Mindset: High-velocity building and testing discipline that prioritizes converting custom solutions into reusable assets.