Principal Scientist- Search

About You

You are a recognized AI leader with deep expertise in Information Retrieval, Search, NLP, and Generative AI. You have a track record of turning cutting-edge research into production solutions that deliver measurable customer value. You hold a PhD in Computer Science, AI, Machine Learning, NLP, Information Retrieval, or a related field, with 8+ years of industry experience building and deploying AI systems at scale. You bring strong technical depth across retrieval, ranking, RAG, agentic systems, and knowledge-based AI, while also possessing the product mindset and leadership skills needed to influence strategy and drive business impact.

About The Role

In this position, you will:

• Define and drive the technical vision for AI-powered search, discovery, and knowledge systems.
• Lead development of retrieval, ranking, semantic search, RAG, and agentic AI capabilities.
• Design and optimize retrieval architectures using embeddings, reranking, hybrid search, knowledge graphs, and contextual retrieval techniques.
• Establish evaluation frameworks and benchmarks for search quality, relevance, grounding, and answer quality.
• Partner closely with Product and Engineering teams to translate customer needs into scalable AI solutions.
• Provide technical leadership on AI strategy, roadmap planning, and investment decisions.
• Mentor scientists and engineers while promoting best practices across the organization.

About You

You're an ideal fit if you have:

• A PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Information Retrieval, or a related field.
• 8+ years of industry experience building and deploying production AI systems at scale.
• Proven experience delivering search, retrieval, NLP, knowledge graph, recommendation, or Generative AI solutions.
• A strong product mindset with the ability to translate complex customer problems into successful AI applications.
• Experience leading cross-functional initiatives and influencing technical strategy across research, engineering, and product organizations.
• Outstanding communication, collaboration, and stakeholder management skills.

Technical Expertise

You bring deep hands-on experience in several of the following areas:

• Information Retrieval, Search Relevance, Semantic Search, Ranking, and Retrieval-Augmented Generation (RAG).
• Large Language Models, Agentic AI frameworks, tool-using systems, and knowledge-based AI applications.
• Knowledge graphs, question answering, retrieval optimization, evaluation methodologies, and experimentation frameworks.
• Production development using Python, PyTorch, Hugging Face, and modern MLOps practices.

Preferred Qualifications

• Experience building enterprise search, discovery, or research-assistance platforms.
• Experience within Legal, Tax & Accounting, Risk, Financial Services, Healthcare, or other complex professional domains.
• Experience with hybrid search, vector databases, recommendation systems, knowledge graphs, and large-scale retrieval platforms.
• Experience deploying and operating AI solutions using Azure ML, Azure AI Foundry, AWS SageMaker, or similar cloud platforms.
• Experience mentoring scientists and leading large-scale AI initiatives.