Software Engineering Architect Lead
4 days ago
We are seeking an experienced Software Quality Architect to join our team at Salesforce. This role requires a deep understanding of Salesforce architecture, software quality assurance, and the ability to assess and optimize Large Language Models (LLMs) for delivering accurate, safe, and high-quality responses.
About the Role- Define Quality Strategies: Develop and implement robust quality strategies for Salesforce's SaaS products, focusing on AI and LLM integrations.
- Evaluate LLM Performance: Assess and optimize Large Language Models (LLMs) for quality, accuracy, relevance, and safety in various use cases.
- Testing and Automation: Design test plans and automation frameworks for both traditional software components and LLM-based features, ensuring seamless integration and high performance.
- Quality Metrics: Establish and track quality metrics, including accuracy, relevance, engagement, and safety of LLM-generated responses.
- Collaborate on AI Model Improvements: Work closely with data scientists and machine learning engineers to provide feedback on LLM performance and recommend improvements based on quality testing results.
- SaaS Expertise: Apply your knowledge of Salesforce architecture and SaaS platforms to guarantee high availability, scalability, and user satisfaction in AI-powered applications.
- Human Evaluation: Oversee human evaluation processes for subjective quality dimensions, such as response engagement, user safety, and contextual accuracy.
- Drive Innovation & Adoption: Bring structure to the engineering decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps prioritize high-value solutions.
- Multiplier - Connect the 'Art of the Possible': Provide technical leadership for critical areas that significantly impact customer success, driving discussions and ensuring best practices are implemented.
- Cross-Platform Collaboration: Use your understanding of customers' needs across industries and multiple technology landscapes to develop solutions across Salesforce's technology stack.
- Technical Leadership on Proof of Concepts: Influence R&D direction through your technical knowledge and drive initiatives across R&D.
- Experience in Salesforce: Understanding of Salesforce's architecture, platform features, and integration with AI/ML components.
- SaaS Expertise: Extensive experience with SaaS platforms, cloud architecture, and enterprise-level software quality assurance.
- LLM Expertise: Hands-on experience evaluating Large Language Models (LLMs) for quality response.
- Quality Assurance Leadership: Experience leading quality assurance initiatives for complex software systems.
- AI & Machine Learning Knowledge: Strong understanding of AI/ML principles.
- Testing Tools & Frameworks: Familiarity with tools like Selenium, TestNG, JUnit, and other automation frameworks.
- Collaboration & Communication: Excellent communication skills, with the ability to work cross-functionally.
- Problem-Solving & Analytical Skills: Strong analytical and problem-solving abilities.
The estimated salary for this position is $120,000-$180,000 per year, depending on location and experience.
BenefitsSalesforce offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and generous paid time off.
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