Staff Software Engineer

ServiceNow

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profile Job Location:

Chicago, IL - USA

profile Monthly Salary: Not Disclosed
Posted on: 08-11-2025
Vacancies: 1 Vacancy

Job Summary

About the Team:

We are a specialized group of engineers in ServiceNow Digital Technology groups dedicated to building the next generation of AI-powered Go-to-Market solutions. ServiceNows business runs on our solutions. We tackle our businesss complex challenges in areas like Contract Lifecycle Management (CLM) and Pricing Intelligence transforming them into opportunities for groundbreaking products. Our mission is to harness the power of Large Language Models (LLMs) Knowledge Graphs and intelligent agent pipelines to deliver unparalleled value and redefine how businesses operate.

Why This Role Matters

The enterprise landscape is rapidly evolving and the demand for intelligent autonomous systems has never been higher. Simply applying AI is not enough; success requires building sophisticated scalable and resilient AI-native software that delivers tangible business outcomes. This is where you come in.

As a Staff Software Engineer you are the chief architect and visionary for our most critical AI initiatives. You will own the end-to-end creation of AI Agent Pipelines from designing evaluation frameworks to connecting a deep understanding of LLMs and Knowledge Graphs into cohesive powerful solutions. You will build the core intelligence that powers our future products creating systems that are not just smart but are also robust scalable and ready for the complexities of the real world. Your work will directly shape the future of AI in the enterprise.

Who You Are

You are a deeply technical systems-oriented engineer who thinks in terms of intelligent agents and autonomous workflows. You dont just use AI models; you understand their core principles and can build the intricate pipelines and feedback loops necessary to create true AI-native applications. You possess a product-driven mindset capable of translating complex business problems in domains like contract analysis and pricing strategy into elegant scalable software architecture. You are motivated by building foundational technology and thrive on the challenge of turning cutting-edge AI concepts into production-ready reality.

What You Will Do

  • Architect & Build: Design and implement robust scalable AI Agent Pipelines evaluation frameworks and orchestration logic for next-generation AI solutions.
  • Innovate with LLMs & Knowledge Graphs: Leverage a deep understanding of LLMs retrieval-augmented generation (RAG) and Knowledge Graphs to build sophisticated systems for Contract Lifecycle Management and Pricing Intelligence.
  • Deliver Production-Grade Solutions: Own the full software lifecycle from initial concept and architecture to deployment and iteration ensuring systems are resilient observable and secure.
  • Codify and Scale: Develop reusable frameworks libraries and patterns that enable the entire engineering organization to build AI-native features faster and more effectively.
  • Influence Product & Strategy: Partner closely with product managers researchers and business leaders to inform the technology roadmap and identify new opportunities for AI-driven innovation.

What Success Looks Like

  • Production-Grade AI Systems: You successfully design build and deploy core AI agent pipelines that power new revenue-generating product features.
  • Reusable Impact: The frameworks and libraries you create become the standard for building AI-powered workflows across the engineering organization significantly increasing development velocity.
  • Technical Leadership: You are recognized as a go-to expert for AI architecture influencing technical decisions and mentoring other engineers.
  • Platform Influence: Your work on evaluation frameworks and model integration directly shapes our internal AI platform and tooling strategy.
  • Measurable Business Outcomes: The solutions you build deliver clear value such as automating complex contract analysis identifying revenue opportunities or optimizing pricing strategies for our customers.

Qualifications :

What You Bring:

  • Relevant Experience: 10 years of professional software engineering experience with a proven track record of designing and building large-scale distributed systems for leading SaaS applications.
  • Domain Expertise: Strong background and practical experience in enterprise Go-to-Market domains specifically with CRM CPQ (Configure Price Quote) and/or CLM (Contract Lifecycle Management) systems.
  • AI/ML Depth: Demonstrable experience building and deploying systems that leverage Large Language Models (LLMs) NLP or related machine learning technologies.
  • System Architecture: Proven ability to architect and implement complex AI-native software in a production environment.
  • Engineering Excellence: Deep proficiency in backend development (e.g. Python Go Java) and API design (REST/GraphQL).
  • Cloud & MLOps: Deeply familiar with hyperscalers and their AI/ML offerings particularly Azure ML. Proficient with CI/CD containers and infrastructure-as-code.
  • AI Tooling Fluency: Hands-on experience with modern AI development stacks including frameworks like LangChain or LlamaIndex vector databases and prompt engineering/optimization techniques.
  • Platform Mindset: A passion for building foundational tools and abstractions that empower other developers.

Preferred Qualifications

  • Experience building or working with Knowledge Graphs (e.g. Neo4j TigerGraph).
  • Track record of building and launching successful SaaS applications from the ground up.
  • Contributions to open-source AI/ML projects or publications in relevant academic conferences.
  • Experience designing and implementing robust evaluation frameworks for LLM-based systems.

 

FD21

 

 

 

For positions in this location we offer a base pay of $147300 - $257800 plus equity (when applicable) variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs.

 

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.


Additional Information :

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. 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 service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license. 


Remote Work :

Yes


Employment Type :

Full-time

About the Team:We are a specialized group of engineers in ServiceNow Digital Technology groups dedicated to building the next generation of AI-powered Go-to-Market solutions. ServiceNows business runs on our solutions. We tackle our businesss complex challenges in areas like Contract Lifecycle Manag...
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Learn here. Grow here. Make a difference here. At ServiceNow, our cloud?based platform and solutions deliver digital workflows that create great experiences and unlock productivity for employees and enterprises. We’re growing fast, innovating even faster, and making an impact on our c ... View more

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