Drimva

Evolver

Product Solutions Architect

Palo Alto, CA +3 · Full-time · Posted Aug 7, 2026

Location
Palo Alto, CA
New York, New York, United States
Palo Alto, California, United States
Toronto, Ontario, Canada
Education
Master’s degree in Computer Science, Applied Mathematics, or Applied Engineering Disciplines, or equivalent practical experience.

About the job

Calibrates, configures, validates, and integrates Evolver’s ARIA platform for customer environments, translating customer requirements and technical specifications into production-ready deployments.

What you'll do

  • Adapt ARIA to customer data structures, risk parameters, and operational environments; build compliant templates, business rules, and decision engines.
  • Run testing, simulations, and evaluation protocols to validate system outputs against security, regulatory, and business constraints.
  • Integrate customer-specific components, prototype reusable solutions, and contribute templates and integration blueprints to the Fusion Methodology.

What they ask for

  • Master’s degree in Computer Science, Applied Mathematics, or Applied Engineering Disciplines, or equivalent practical experience.
  • Hands-on experience tracing, debugging, and maintaining end-to-end data/AI pipelines from raw ingest to production output.
  • Proven background in at least one technical domain, such as AI/Generative AI, data engineering, system design optimization, or system integrations.
  • Practical working knowledge of incorporating regulatory, audit, or enterprise risk constraints into technical software delivery.

Nice to have

  • Experience configuring or deploying complex enterprise systems in highly regulated industries.
  • Experience designing automated evaluation protocols, test harnesses, or synthetic datasets; customer-facing delivery or solutions engineering experience.

Tools

ARIA

AI focus

Calibrates and validates an AI platform and its decision capabilities for enterprise customer workflows.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)