Solution Architect, Agent & Software Testing

Tonic AI

5h

About The Position

Tonic.ai is hiring a Solution Architect to help customers use its data de-identification platform to generate realistic test data for software and agent testing. The role works across the sales cycle: partnering with account executives during presales, proving solutions through pilots, and leading customer onboarding and technical support after deals close. The architect maps customer data sources, environments, and release processes; determines where Tonic fits; and helps teams generate usable test data within time-to-generation targets.

The position combines customer-facing technical leadership with hands-on problem solving and process improvement. It involves designing test-data pipelines using de-identified production and synthetic data, troubleshooting issues, training customers to operate Tonic independently, and conveying field feedback to product and engineering. The successful candidate will turn recurring fixes into reusable scripts, documentation, runbooks, and product improvements, while helping scale the Solutions Architect function.

Requirements

• Bachelor’s degree in a technical field such as computer science, engineering, information systems, or math, or equivalent experience.
• At least 3 years in a technical customer-facing role such as Solutions Architect, Sales Engineer, Technical Customer Success, or Forward Deployed Engineer.
• Hands-on experience with relational databases, data warehouses, and cloud infrastructure such as AWS, Azure, or GCP.
• Working knowledge of CI/CD, Docker, Kubernetes, test environments, and testing frameworks.
• Ability to script and automate using Python and SQL.
• Uses AI tools and agents as a central part of their workflow and understands where they are reliable and where oversight is needed.
• Ability to take ownership and make sound technical decisions without waiting to be told.
• Ability to communicate technical detail to specialists and make business cases to senior engineering leaders.
• Willingness to travel up to 25%, domestically and internationally.

Nice To Haves

• Experience with agent evaluation and testing.
• Experience with test data management, data masking, or synthetic data tools.
• Experience supporting security and compliance reviews in regulated industries such as healthcare and financial services.
• Experience at an early-stage company or on a new product line.

Responsibilities

• Run technical discovery with prospect engineering, DevOps, and QA teams; map data sources, environments, and release processes.
• Design and demonstrate solutions, and address technical questions about security reviews, deployment models, performance at scale, and CI/CD integration.
• Define written success criteria for pilots and manage pilots through a decision.
• Lead post-sale onboarding, including deploying Tonic, connecting data sources, configuring de-identification and subsetting, and helping customers generate usable test data within time-to-generation targets.
• Design test-data pipelines for agent and software testing using de-identified production data and synthetic data.
• Diagnose and resolve customer issues, including broken foreign keys, schema drift, missed sensitive columns, and jobs that do not finish; clearly explain issues that require another engineer to fix.
• Train customer teams to run Tonic independently.
• Share field insights with product and engineering teams, including important features, deal-blocking bugs, and product direction.
• Support existing customers with high-complexity issues and work with account teams to identify expansion opportunities.
• Convert one-off fixes into reusable scripts, documentation, runbooks, and product improvements.
• Work alongside account executives before sales and customer engineering teams after sales.
• Help shape how the Solutions Architect function scales.

Benefits

• Competitive compensation and equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level