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Machine Learning Architect - RAG Foundations

World's #1 AI CRM company helping businesses connect with customers through AI + Data + CRM solutions.
$230,700 - $384,100
Machine Learning
Principal Software Engineer
Hybrid
5,000+ Employees
15+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Architect - RAG Foundations

Salesforce 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 the world's leading CRM company.

The position requires an exceptional leader with 15+ years of experience in machine learning and search systems, who will be responsible for architecting and implementing cutting-edge solutions that combine Knowledge Graphs, vector search, and Large Language Models (LLMs). The ideal candidate will drive innovation in how Salesforce enables knowledge-driven experiences across their next-generation AI products.

Working within the Einstein Foundation team, you'll collaborate with a diverse group of machine learning engineers, data scientists, and software engineers. The role demands expertise in multiple technical domains, including RAG platforms, semantic search, vector databases, and distributed systems. You'll be implementing solutions using technologies like FAISS, Pinecone, Neo4j, and various ML frameworks.

Key responsibilities include architecting large-scale search and retrieval solutions, developing innovative hybrid retrieval pipelines, and optimizing system efficiency through automation. You'll work closely with Product Managers, Knowledge Engineers, and ML Researchers to translate requirements into scalable solutions that serve millions of users globally.

The position offers competitive compensation ranging from $230,700 to $384,100 based on location and experience, with opportunities for equity and benefits. This is a hybrid role with locations in San Francisco, Palo Alto, or Bellevue, offering the flexibility to balance office and remote work.

This role represents an opportunity to shape the future of enterprise AI applications while working with cutting-edge technologies in a collaborative, innovation-focused environment. The ideal candidate will combine technical expertise with strong leadership and communication skills to drive the evolution of Salesforce's AI systems.

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Responsibilities For Machine Learning Architect - RAG Foundations

  • Lead the Architecture of Advanced Search & Knowledge Graph Solutions
  • Imagine and develop next-gen RAG platform features
  • Optimize and Automate Search Systems
  • Collaborate Across Teams for AI-Driven Product Innovation
  • Pioneer Search and Knowledge Graph Innovations
  • Design and optimize multi-stage retrieval workflows
  • Guide discussions on emerging technologies

Requirements For Machine Learning Architect - RAG Foundations

Python
Kafka
  • 15+ years experience in Machine Learning & Search Systems
  • Deep expertise in RAG platforms
  • Expertise in Semantic and Vector-Based Search
  • Strong Background in NLP & LLMs
  • Advanced Knowledge Graph Skills
  • Proficiency in Distributed Systems & ML Frameworks
  • Programming Mastery in Python & Graph-Based Frameworks
  • Experience with vector databases (FAISS, Pinecone, Milvus)
  • Proficiency in graph databases (Neo4j, Amazon Neptune)

Benefits For Machine Learning Architect - RAG Foundations

Equity
Medical Insurance
  • Equity
  • Medical Insurance

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