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Job Overview

Beyond core platform development, engineers on this team have the opportunity to contribute to research initiatives in agent learning, agentic evaluation methodologies, and analytics.

Key points

  1. Lead the design and architecture of AI solutions, shaping how reasoning, memory, and orchestration come together in production systems.

  2. Own end to end delivery from design through deployment, ensuring solutions are scalable, reliable, and performant.

  3. Work hands on with modern AI frameworks and open source SDKs, with a strong emphasis on prompt engineering and pipeline optimization.

  4. Stay current with emerging advancements in LLMs and Agentic AI, integrating relevant techniques into our platform roadmap.

  5. Partner with product managers, architects, and leadership to translate business requirements into robust technical solutions with measurable impact.

  6. We embrace the rapidly evolving landscape of LLMs and Agentic AI while maintaining the reliability and performance standards required to operate at ServiceNow's scale.

  7. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and…

  8. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party…

Skills

LLMsPythonJavaMachine LearningNLPProblem SolvingGenerative AIPrompt Engineering

Experience: Senior-level · Job type: Full-time

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