Principal Machine Learning Engineer, GAI Search Relevance - Ranking - Moveworks job opportunity at ServiceNow.

Home Jobs In United States Of America Tag: GAI Search Relevance - Ranking - Moveworks Principal Machine Learning Engineer, GAI Search Relevance - Ranking - Moveworks position at ServiceNow


Date2026-02-11T22:40:21.298Z bot
ServiceNow Principal Machine Learning Engineer, GAI Search Relevance - Ranking - Moveworks
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GAI Search Relevance - Ranking - Moveworks

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loacation 1400 Terra Bella Avenue, Mountain View, CALIFORNIA, United States Of America
loacation 1400 Terra Bel..........United States Of America
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Job DescriptionPrincipal Machine Learning Engineer, GAI Search Relevance - Ranking - MoveworksWhat You Will DoWe are seeking a Principal Engineer to lead the technical vision and long-term architecture of our GenAI Search Platform. This platform powers Moveworks’ conversational search and question-answering systems, combining advanced information retrieval with large language models (LLMs) to deliver instant, enterprise-grade answers at scale.As a Principal Engineer, you will operate at the intersection of search, generative AI, and platform infrastructure. You will define and drive the multi-year technical strategy for our search ecosystem — ensuring it is scalable, extensible, secure, and capable of supporting the next generation of agentic and LLM-enabled experiences across the enterprise.You will partner closely with ranking, ML, product, infrastructure, data science, and customer teams to evolve our search platform into a foundational capability that enables rapid innovation while maintaining rigorous guarantees around quality, privacy, and reliability.Key ResponsibilitiesSet Technical Vision & ArchitectureDefine and evolve the long-term architecture of our GenAI search platform, balancing classical information retrieval techniques with LLM-driven retrieval-augmented generation (RAG) systems.Architect scalable abstractions and frameworks that enable multiple teams (ranking, product, ML) to safely and independently build on top of the platform.Establish durable design principles for performance, enterprise readiness, extensibility, and observability.Drive Next-Generation Search CapabilitiesLead the development of advanced conversational search systems, including multi-turn, multi-hop, and agentic workflows.Define architectural patterns for integrating LLMs into search systems in a secure, cost-efficient, and production-grade manner.Ensure the platform can support rapid experimentation while enforcing guarantees around security, privacy, and compliance in enterprise environments.Platform Quality & Evaluation StrategyEstablish systematic evaluation methodologies and metrics for search and generative systems, including LLM-assisted evaluation frameworks.Lead the definition of quality standards for ranking, retrieval accuracy, hallucination mitigation, and user trust.Champion performance optimization, scalability, and operational excellence across the platform.Cross-Functional Technical LeadershipInfluence product and engineering roadmaps to align with platform strategy and long-term scalability goals.Serve as a technical advisor across teams, ensuring architectural coherence and reducing fragmentation.Drive high-leverage initiatives that unlock velocity for multiple product teams.Organizational ImpactMentor and elevate senior and staff engineers.Shape hiring strategy and help close top technical talent.Raise the bar for engineering excellence, documentation, design rigor, and code quality across the organization.

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