Senior Staff Software Engineer - Agent Development

Posted An Hour Ago
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Santa Clara, CA, USA
Hybrid
191K-334K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
We're putting AI to work for people.
The Role
Lead design and delivery of production agentic AI systems: build scalable software, multi-agent orchestration, RAG and retrieval pipelines, integrate frontier AI SDKs, implement testing and observability, mentor engineers, and own architecture and feature delivery from design through release.
Summary Generated by Built In
Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

 

Job Description

What you get to do in this role: 

  • Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability. 
  • Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery. 
  • Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
  • Contribute to the design and implementation of new products and features while enhancing existing product capabilities.
  • Integrate automated testing into development workflows to ensure consistent quality across releases.
  • Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.
  • Develop comprehensive test strategies covering functional, regression, integration, and performance aspects.
  • Mentor other engineers on the team in how to build, maintain, and evolve great AI powered software solutions.
  • Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality.
  • Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team. 

Qualifications

To be successful in this role you have: 

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
  • 12 years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years experience; or equivalent experience.
  • Hands-on depth designing, shipping, and operating agentic systems in production — multi-agent orchestration, tool calling, planning loops, memory, and failure recovery. Not prototypes. 
  • Production-grade Python. Systems language (Go, Java, or C++) is a plus. 
  • Working experience with frontier AI SDKs (Anthropic, Google, or OpenAI) — prompt engineering, structured outputs, and model evaluation in production settings. 
  • Familiarity with RAG and retrieval patterns in production — vector stores, hybrid search, and retrieval evaluation metrics. 
  • Track record of technical leadership: architecture ownership, code quality bar-raising, and mentoring engineers on production AI practices.
  • Comfort operating in fast-moving, ambiguous, startup-like AI product environments with high degree of ownership.
  • Experience with multi-agent coordination patterns (A2A, MCP).
  • Familiarity with agent frameworks (LangChain, LlamaIndex, or similar).
  • Prior experience shipping AI systems in enterprise software.
  • Experience with AI observability tooling (tracing, cost tracking, LLM-specific monitoring).
  • Strong appetite for continuous incremental wins and completing challenging deliverables fast.

Why Join Us 

  • Build and deliver high-impact software that powers digital experiences for millions of users.
  • Collaborate in a culture that values craftsmanship, quality, and innovation.
  • Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability.
  • Be part of a culture that encourages innovation, continuous learning, and shared success.

 

 

 

 

 

 

For positions in this location, we offer a base pay of $190,900 - $334,100, 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, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In 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 [email protected] 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. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Skills Required

  • Experience leveraging or critically evaluating how to integrate AI into work processes and decision-making
  • 12 years software engineering with a Bachelor's degree; or 8 years with a Master's; or PhD with 5 years; or equivalent experience
  • Hands-on depth designing, shipping, and operating agentic systems in production (multi-agent orchestration, tool calling, planning loops, memory, failure recovery)
  • Production-grade Python
  • Systems language experience (Go, Java, or C++)
  • Working experience with frontier AI SDKs (Anthropic, Google, OpenAI), including prompt engineering, structured outputs, and model evaluation in production
  • Familiarity with RAG and retrieval patterns in production (vector stores, hybrid search, retrieval evaluation)
  • Track record of technical leadership, architecture ownership, and mentoring on production AI practices
  • Comfort operating in fast-moving, ambiguous, startup-like AI product environments with high ownership
  • Experience with multi-agent coordination patterns (A2A, MCP)
  • Familiarity with agent frameworks (LangChain, LlamaIndex, or similar)
  • Prior experience shipping AI systems in enterprise software
  • Experience with AI observability tooling (tracing, cost tracking, LLM-specific monitoring)
  • Integrate automated testing and develop comprehensive test strategies (functional, regression, integration, performance)

What the Team is Saying

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ServiceNow Compensation & Benefits Highlights

  • Healthcare Strength Multiple medical plan options, mental‑health resources, and strong coverage signals are emphasized. Fertility and family‑planning benefits further broaden the health package.
  • Leave & Time Off Breadth Flexible PTO, paid volunteer time, and company‑wide Wellbeing Days are highlighted. Paid holidays and shutdowns enhance recharge opportunities.
  • Equity Value & Accessibility Equity grants (RSUs) and an Employee Stock Purchase Plan are standard components of total rewards. Donation matching and learning support complement long‑term value building.

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The Company
HQ: Santa Clara, CA
29,000 Employees
Year Founded: 2004

What We Do

As the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it). With more than 8,400+ customers, we serve approximately 90% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™. Explore your future career with us, visit www.careers.servicenow.com From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Why Work With Us

By joining ServiceNow, you are part of an ambitious team of change-makers who have a restless curiosity and a drive for ingenuity. We're committed to helping our people do their best work and live their best lives so we can fulfill our purpose together. At the fastest-growing enterprise software company, you can grow your career faster.

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ServiceNow Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At ServiceNow, we lead with flexibility and trust. For some, home is the primary workplace. For those who come into a ServiceNow workplace, you are empowered to make team-guided and individual-led decisions on how and when you use the workplace.

Typical time on-site: Flexible
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