Senior AI Architect for Search and Knowledge Graph Solutions

15 hours ago


Palo Alto, California, United States salesforce, inc. Full time

Salesforce is seeking an experienced Senior AI Architect to lead the development of advanced search and knowledge graph solutions.

About Salesforce

We're a global leader in customer relationship management, empowering businesses to connect with customers in a whole new way. Our mission is to help companies achieve greater agility, accelerate business transformation, and create seamless customer experiences.

Job Description

In this role, you will be responsible for architecting and developing intelligent search and knowledge graph solutions that integrate machine learning, natural language processing, and large language models. You will work closely with cross-functional teams to design and implement scalable search and retrieval architectures optimized for enterprise use cases.

Key Responsibilities:
  1. Design and Implement Advanced Search Solutions: Develop end-to-end search solutions that leverage machine learning, NLP, and LLMs to improve contextual relevance and accuracy.
  2. Lead Knowledge Graph Development: Collaborate with data scientists and engineers to build and optimize knowledge graphs that power high-dimensional search and retrieval.
  3. Optimize System Performance: Ensure that search systems are highly efficient, scalable, and resilient, with real-time optimization and automation.
  4. Collaborate Across Teams: Work with product managers, data scientists, and research teams to translate requirements into innovative search and retrieval solutions.
Requirements:
  1. 15+ years of experience in Machine Learning and Search Systems: Proven expertise in large-scale search, machine learning, and knowledge-driven systems.
  2. Expertise in Semantic and Vector-Based Search: Deep understanding of vector databases, ANN search algorithms, and embedding techniques to power high-relevance search systems.
  3. Strong Background in NLP and LLMs: Experience with NLP, prompt engineering, and applying LLMs to enhance knowledge-based search and retrieval.
  4. Sophisticated Knowledge Graph Skills: Proficiency in graph databases, graph embedding, and linking techniques to enable rich contextual search.
Salary Range: $224,100 - $372,900 per yearBenefits:
  • Competitive salary range
  • Comprehensive health insurance
  • Retirement plan
  • Generous PTO policy
  • Professional development opportunities


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