AI Architect

Overview

AI Architect role focused on designing and building AI-powered capabilities for a continuous testing platform.

What you'll do

• Lead AI/ML architecture for new AI-powered product offerings.
• Architect systems to produce AI-powered insights from test run logs and analytics.
• Integrate AI solutions with an error reporting product to analyze production issues.
• Develop unified data intelligence combining test and production data.
• Architect models for automated failure analysis, root cause diagnosis, and remediation suggestions.
• Design AI-assisted test case generation capabilities.
• Provide technical leadership and mentorship for AI/ML implementation and deployment.

What you'll need

• 7+ years of experience in software development and production-grade systems architecture.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience designing, building, and deploying large-scale AI/ML systems in production.
• Deep hands-on experience with Google Cloud Platform (GCP) services for AI/ML.
• Practical experience with large language models, including Gemini Flash, deployment/fine-tuning concepts.
• Strong background with large datasets, data warehousing (Snowflake and BigQuery), and analytics.
• Solid software engineering foundation including scalable system design and microservices architectures.

Details

• Hybrid workplace; employees located near an office must be able and willing to come into the office.