Join Salesforce's AI Cloud Quality Engineering team as a key member in India, working with experts worldwide on cutting-edge AI technology. The role focuses on Einstein products & platform, which democratize AI across Salesforce's ecosystem, producing over a billion predictions daily and training thousands of models. You'll be responsible for leading quality initiatives for Salesforce's AI Platform and applications, working with the latest technology in AI space, including generative AI.
As a Quality Engineer, you'll lead comprehensive test strategies with emphasis on automation, collaborating closely with product & engineering teams. The position requires understanding complex backend AI flow systems, identifying risks, and ensuring feature stability and reliability. You'll work in a fast-paced environment with a small, friendly team that values both professional excellence and community involvement through volunteering.
The team serves as the Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes. You'll be involved in building test frameworks, monitoring quality metrics, and managing integration tests across various environments. The role offers exposure to cutting-edge AI technologies, including LLM Model hosting with Sagemaker, LLM Finetuning and Inferencing, and integrations with various AI providers.
This position offers an opportunity to work with Salesforce's industry-leading AI platform while contributing to its massive scale growth. You'll be part of a team that's transforming how Salesforce builds trusted machine learning and AI products, making AI accessible across all clouds through unified, configuration-driven, and fully orchestrated machine learning APIs.