We are looking for an experienced Enterprise Search Lead to build and optimize our multi-tenant enterprise search solution. This role focuses on creating scalable systems that integrate seamlessly with customer environments, leveraging cutting-edge AI and ML technologies. You will design and manage the enterprise knowledge graph, implement personalized search experiences, and drive AI- powered innovations to enhance search relevance and ITSM workflows.

What You Will Do:

• Build and structure our enterprise knowledge graph to organize content, people, and activity into meaningful relationships for better search relevance.
• Develop and refine personalized ranking models that adapt to user behavior and improve search results over time.
• Design ways to adapt AI language models to each customerʼs data for enhanced accuracy and context.
• Explore innovative methods to combine LLMs with search engines for answering complex queries
• Write clean, robust, and maintainable code that integrates smoothly with multi-tenant systems.
• Collaborate with cross-functional teams to align search capabilities with ITSM workflows.
• Mentor junior engineers or learn from experienced ones to grow as a technical leader.
  

What You Should Have

• 3-5 years of experience working on enterprise search products with AI/ML integration.
• Expertise in multi-tenant systems and securely integrating with external customer systems.
• Hands-on experience with tools like Elasticsearch, Solr, or similar search platforms.
• Strong coding skills in Python, Java, or equivalent languages.
• A passion for solving complex problems with AI and delivering intuitive user experiences.