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
We are looking for a full stack Senior Software Engineer to help build and scale our AI application development. An experienced engineer who is passionate about building enterprise grade systems and applying AI concepts while implementing the solutions. You're passionate about new technologies and ready to push the boundaries of what is achievable. You're enthusiastic about working in the latest technologies and ability and desire to bring new ideas.
What You Get to Do in This Role
- Implement AI-Native product development, using cutting-edge technical approaches to deliver business value
Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery - Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit Testing, etc.)
- 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
- 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
- Bring judgment on where AI belongs in the engineering workflow, and set the guardrails for AI assisted development
- Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI’s potential impact on the function or industry
- Bachelor's/Master's degree in Computer Science or a related discipline with 5-8 years of software industry experience
- 1+ years of hands-on work with LLM prompting, agent design, and retrieval systems (RAG, semantic search,
- Experience integrating LLM APIs (Anthropic, OpenAI, Bedrock, Vertex, or similar), including tool/function calling, structured-output enforcement, and guardrails.
- Experience building and debugging evaluation harnesses and metrics for AI features, such as accuracy, reg detection.
- Strong JavaScript/Node.js , Python,Java, with solid data modelling and query optimization
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
- Bachelor's or master's degree in Computer Science or a related discipline
- 5-8 years of software industry experience
- 1+ years of hands-on experience with LLM prompting, agent design, and retrieval systems such as RAG and semantic search
- Experience integrating LLM APIs such as Anthropic, OpenAI, Bedrock, Vertex, or similar
- Experience with tool or function calling, structured-output enforcement, and AI guardrails
- Experience building and debugging AI evaluation harnesses and metrics
- Strong JavaScript, Node.js, Python, and Java skills
- Experience with data modeling and query optimization
- Ability to critically evaluate and integrate AI into work processes, decision-making, or problem-solving
What the Team is Saying
ServiceNow Compensation & Benefits Highlights
-
Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, and prescription benefits alongside HSA support, counseling, and an employee assistance program. Affordable insurance, mental‑health resources, and wellness support are cited as particular strengths in the U.S.
-
Leave & Time Off Breadth — Time off includes 12 paid holidays and vacation that increases with tenure, reaching about 20 days after five or more years. Some teams also offer flexible or unlimited PTO, though practical usage can depend on workload and manager expectations.
-
Equity Value & Accessibility — Equity programs such as RSUs, an employee stock‑purchase plan, and stock discounts are described as valuable parts of total compensation. Bonuses and annual increases further enhance the package for many roles.
ServiceNow Insights
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.
Gallery
%20copy.JPG)
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.
