Machine Learning Architect - RAG Foundations

Salesforce, the world's leading AI CRM company, is seeking a visionary Machine Learning Architect to spearhead their RAG (Retrieval-Augmented Generation) solutions within the Einstein Foundation team. This role represents a unique opportunity to shape the future of enterprise AI at a company that's revolutionizing customer relationships through technology.

The position requires a seasoned professional with 15+ years of experience in machine learning and search systems, who will be responsible for architecting and implementing cutting-edge RAG solutions that power Salesforce's next-generation AI products. The role combines deep technical expertise in vector databases, knowledge graphs, and large language models (LLMs) with strategic leadership in driving AI innovation.

Working within the Einstein Foundation team, you'll collaborate with a diverse group of machine learning engineers, data scientists, and software engineers. The team culture emphasizes innovation and cross-functional collaboration, focusing on scaling AI-driven customer success solutions. You'll be at the forefront of developing solutions that serve millions of users globally.

Key responsibilities include architecting large-scale search and retrieval solutions, innovating hybrid retrieval pipelines, optimizing system efficiency, and leading cross-functional collaboration for AI-driven product development. The role offers competitive compensation ranging from $209,700 to $384,100 based on location and experience, plus comprehensive benefits.

This position is ideal for someone passionate about pushing the boundaries of AI technology while working at a company that values both technical excellence and positive social impact. The hybrid work environment offers flexibility while maintaining collaborative opportunities at offices in San Francisco, Palo Alto, or Bellevue.

As part of Salesforce's commitment to innovation, you'll have the opportunity to work with cutting-edge technologies and shape the future of enterprise AI applications. The role combines technical leadership with the chance to influence the direction of AI development at one of the world's most respected technology companies.