Enter a job title or keyword

Staff Software Engineer, Conversational and Agentic AI Platform Services

ServiceNow


Job Location:

Santa Clara County, CA - USA

Monthly Salary: Not provided by the employer
Posted: 28 June 2026 (30+ days ago)
Application Deadline: 25 September 2026
Vacancies: 1 Vacancy

Job Summary

ServiceNow is looking for a strong software engineer and technical lead with deep software design and architecture skills strong coding ability and the technical judgment to build reliable production systems at enterprise scale.

ServiceNows core platform is built on a powerful and highly scaled Java service that supports some of the worlds largest enterprise this team we are extending that platform with modern Python and Java microservices that complement the main platform architecture and enable new AI-native capabilities. These services are designed to run in Kubernetes-based environments while integrating deeply with the broader ServiceNow platform.

We are focused on production-grade services that bring together enterprise data AI model integrations scalable APIs evaluation workflows and reliable deployment patterns. You will own the design development and operation of containerized backend services running in Kubernetes environments. You will apply strong distributed systems and production reliability judgment to build scalable maintainable services and you will lead technical design across ambiguous high-impact problem spaces.

Experience working on AI GenAI ML-powered or data-intensive products will help you be especially successful in this role.

Responsibilities

  • Designing architecting and implementing Java and Python microservices deployed on Kubernetes
  • Designing APIs service boundaries data models and integration patterns for AI-enabled products
  • Building reliable distributed systems that handle concurrency queueing retries fairness backpressure and failure recovery
  • Integrating frontier AI SDKs such as Anthropic Google and OpenAI into production software systems
  • Applying prompt engineering structured outputs model evaluation and production observability to GenAI use cases
  • Partnering with research product security and infrastructure teams to ship enterprise-grade services
  • Raising the engineering bar through architecture reviews code reviews mentoring and technical direction

Qualifications :

To be successful in this role you have:

Required Qualifications

  • 8 years of professional software engineering experience with strong fundamentals in data structures algorithms distributed systems APIs and backend service design
  • Experience in leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving (including using AI-powered tools automating workflows analyzing AI-driven insights or exploring AIs potential impact)
  • Demonstrated experience as a technical lead Staff Engineer or equivalent senior individual contributor responsible for architecture technical direction code quality and mentoring
  • Strong backend engineering skills in Java Python or equivalent with hands-on experience designing building and operating production services
  • Hands-on experience building or operating containerized applications deployed in Kubernetes OpenShift or similar orchestration environments
  • Experience designing scalable APIs asynchronous processing systems queues event-driven services or data-processing pipelines
  • Familiarity with cloud-native infrastructure service observability logging monitoring reliability engineering and production troubleshooting
  • Ability to make pragmatic architecture decisions across performance reliability security maintainability and delivery speed
  • Ability to lead other engineers through code reviews design reviews and technical mentorship
  • Strong communication skills and the ability to partner across product research engineering infrastructure and security

Nice to Have

  • Prior experience working on AI/ML products collaborating with research teams or translating advanced AI/ML capabilities into production software
  • Knowledge of NLP search and knowledge extraction
  • Experience with multi-modal systems such as document ingestion and processing image processing and voice
  • Working experience with frontier AI SDKs such as Anthropic Google or OpenAI
  • Familiarity with prompt engineering structured outputs tool calling agentic design patterns Model Context Protocol or AI-assisted development workflows
  • Experience with observability tools such as Prometheus Grafana Instana or equivalent monitoring/logging platforms
  • Knowledge of MLOps or applying machine learning models to production use cases
  • Experience with infrastructure backends such as PostgreSQL Redis Kafka RabbitMQ S3-compatible object storage or equivalent technologies
  • Published work patents conference papers or open-source contributions related to AI systems knowledge systems search retrieval or large-scale data processing

For positions in this location we offer a base pay of $166500 - $291400 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 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. 2026 Fortune Media IP Limited. All rights reserved. Used under license.


Remote Work :

No


Employment Type :

Full-time


About Company

Company Logo

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

View Profile View Profile