Job Summary

The AI Outcomes Architect owns the overall technical architecture across a portfolio of customer accounts. You set the standards, run the design reviews, and define the roadmap that every Liveboard, Spotter agent, and Data App is built on - so what an AI Outcomes Analyst ships is secure, scalable, and consistent, not a one-off. You will work closely with the AI Outcomes Manager, who owns the customer relationship, the AI Deployment Manager, who owns the delivery timeline, and the AI Outcomes Analyst, who owns the hands-on build - you are the technical backstop for all of them.

What You'll Do

- Own the technical architecture. Set the overall architecture, data model standards, and governance framework that every accounts Liveboards, Spotter agents, and Data Apps are built on.

- Run architecture and design reviews. Proactively review deployments across your portfolio of accounts - data model health, performance, security - and catch risk before it becomes a production issue.





- Set the technical roadmap. Define the best practices, reusable patterns, and technical playbook that AI Outcomes Analysts and AI Deployment Managers build from, account to account.

- Be a guide to the hardest technical problems. Be the escalation point when a deployment hits a wall an AI Outcomes Analyst cant get past alone - complex data models, security design, or performance at scale.

- Mentor and technically guide AI Outcomes Analysts. Review their semantic models and technical designs, share patterns that work, and build their capability so the whole team levels up.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Outcomes Architect (Bengaluru)
🏢 ThoughtSpot
📍 Bengaluru