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.

Apply