Principal Machine Learning Engineer, GAI Search Relevance - Ranking - Moveworks

ServiceNow•Mountain View, CA

9d•Onsite

About The Position

We 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.

Requirements

8+ years of engineering experience, with a track record of leading large-scale technical initiatives across teams.
Demonstrated experience operating at Staff/Principal scope, driving architecture and influencing technical direction beyond a single team.
Deep expertise in search systems, information retrieval, ranking, recommendation systems, or large-scale question-answering platforms.
Strong background in text processing, natural language understanding, and/or applied machine learning.
Experience designing distributed systems that operate at enterprise scale with high reliability and performance requirements.
A systems thinker who balances innovation with pragmatism in production environments.

Nice To Haves

Experience with large language models, retrieval-augmented generation (RAG), or agent-based architectures.
Experience productionizing LLM systems with attention to cost, latency, evaluation, and safety.
Strong Python experience, particularly contributing to platform-level libraries or shared infrastructure.
Familiarity with Golang or other backend systems languages.

Responsibilities

Set Technical Vision & Architecture
Define 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 Capabilities
Lead 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 Strategy
Establish 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 Leadership
Influence 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 Impact
Mentor 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.