Senior/Lead Quality Engineer - AI Platform

Salesforce is a leading enterprise software company that provides cloud-based CRM and enterprise solutions.
$165,600 - $265,200
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:
Software Engineer - ML Infrastructure

Senior ML Infrastructure Engineer role at Salesforce, building scalable AI services and infrastructure for enterprise-level machine learning applications.

Software Engineering - Search and Knowledge Graph

Senior Software Engineering role at Salesforce focusing on Search and Knowledge Graph solutions, requiring 5+ years of ML experience and expertise in search systems.

Senior/Lead Software Engineer - Agentforce

Senior/Lead Software Engineer position at Salesforce focusing on AI and LLM infrastructure, building and scaling the Einstein platform with competitive compensation in SF Bay Area.

Senior Technical AI Ethicist - AI Red Teamer

Senior AI Ethicist role focusing on adversarial testing and ethical AI development at Salesforce, combining technical expertise with ethical considerations.

Senior/Lead Software Engineer - AI Evaluation & Optimization

Senior/Lead Software Engineer role at Salesforce focusing on AI Evaluation & Optimization, building tools for LLM agent performance analysis and improvement.

Description For Senior/Lead Quality Engineer - AI Platform

Join Salesforce's AI Platform Quality Engineering team as a Senior/Lead Quality Engineer and become a specialist in cutting-edge AI technology. The role focuses on the Einstein products & platform, which democratizes AI across Salesforce's ecosystem, producing over a billion predictions daily and training thousands of models.

As a Quality Engineer, you'll be part of a small, friendly team that has been working together for 3+ years, focusing on ensuring the quality of Salesforce's AI Platform. The platform provides unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces, and various microservices for the entire machine learning lifecycle.

You'll work with the latest technology in the AI space, including generative AI, and collaborate with teams to identify and run quality initiatives supporting massive scale operations. The role involves leading the design, development, and execution of comprehensive test plans with an emphasis on automation. You'll be working in a fast-paced environment, understanding complex backend AI flow systems and dependencies.

The position offers exposure to cutting-edge AI technologies, including LLM Model hosting with Sagemaker, LLM Finetuning and Inferencing, and integrations with various AI providers like Cohere, Anthropic, and Google. You'll be part of a team that serves as the Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes.

This is an excellent opportunity for someone who wants to work at the intersection of quality engineering and artificial intelligence, making a significant impact on how AI is deployed and utilized across one of the world's largest enterprise platforms.

Last updated 2 months ago

Responsibilities For Senior/Lead Quality Engineer - AI Platform

  • Design, develop and execute comprehensive test plans/quality strategies
  • Lead analysis of coverage gaps and writing E2E and integration tests
  • Collaborate with engineering and product teams
  • Monitor and report test stability metrics
  • Configure tooling/runners for automated tests
  • Define and measure Quality metrics
  • Identify risks with releases and deployments
  • Partner with cross-functional teams to drive service level test coverage

Requirements For Senior/Lead Quality Engineer - AI Platform

Java
Python
  • 4-year technical degree
  • 6+ years of QE experience
  • 2+ years of experience leading projects
  • Experience with automation tools and continuous automation systems
  • Strong knowledge of Java/Python/Selenium/CD pipeline configurations
  • Excellent communication skills
  • Experience working with global teams across time zones
  • Experience in API, databases and web UI testing

Interested in this job?