Solutions Architect for AI Test Data & Agent Testing

Tonic.ai; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Tonic.ai in San Francisco seeks a Solutions Architect who loves solving complex customer problems and building systems that automate them. You’ll work with AEs pre-sale and with customers’ engineering teams post-sale to map data sources, design deployments, and prove value through pilots.

You’ll own onboarding, design data pipelines combining de-identified production data with synthetic data, train customer teams, and feed field insights back to product and engineering.

Qualifications

• Bachelor’s degree in a technical field or equivalent experience.
• 3+ years in a technical customer-facing role.
• Experience with relational databases, data warehouses, and cloud infrastructure (AWS, Azure or GCP).
• Working knowledge of CI/CD, Docker and Kubernetes.
• Scripting in Python and SQL.
• Familiarity with AI-native workflows.
• Willingness to travel up to 25%.

Responsibilities

• Run technical discovery with prospects’ engineering, DevOps and QA teams.
• Design and demo the solution, and handle hard technical questions (security, deployment, performance, CI/CD).
• Scope pilots with clear success criteria and drive to a decision.
• Own onboarding after the deal closes and enable usable test data generation.
• Design test-data pipelines blending de-identified production data and synthetic data.
• Diagnose data issues and explain fixes to engineers.
• Train customer teams to run Tonic independently.
• Provide field insights to product and engineering.
• Support existing customers on high-complexity issues and assist with expansions.
• Turn fixes into reusable assets (scripts, runbooks, docs).

Skills

3+ years experience

Relational databases

Data warehouses

CI/CD

Docker

Kubernetes

Python

SQL

Ownership

Voyage flexibility

Education

Bachelor's degree in a technical field

Tools

Docker

Kubernetes

Python

SQL

Job description

Tonic.ai in San Francisco seeks a Solutions Architect who loves solving complex customer problems and building systems that automate them. You’ll work with AEs pre-sale and with customers’ engineering teams post-sale to map data sources, design deployments, and prove value through pilots.

You’ll own onboarding, design data pipelines combining de-identified production data with synthetic data, train customer teams, and feed field insights back to product and engineering.