Senior Staff Software Engineer - Agentic AI
ServiceNow, Santa Clara, California
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Overview
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 We are seeking a Senior Staff Engineer (IC5) who will set the technical vision and architecture across AI-native and cloud-native systems. The IC5 engineer is a strategic technical leader who drives innovation, shapes engineering culture, and influences the direction of the platform.
They work on the highest-impact, most complex problems—defining approaches for novel AI/ML challenges, establishing best practices at scale, and ensuring the organization's technical strategy aligns with business objectives. This role combines deep technical expertise with broad systems thinking, organizational influence, and the ability to mentor and develop senior engineers. IC5 engineers are trusted advisors to leadership and across the organization.
What you get to do in this role: Technical Vision & Strategy
- Define technical vision and strategy for AI-native and cloud-native systems; establish multi-year technology roadmaps and architectural patterns
- Lead the development of core platforms and infrastructure that enable AI-native development at scale (evaluation frameworks, monitoring, security, deployment)
- Drive adoption of emerging AI/ML technologies, frameworks, and best practices; assess new services and tools for organizational fit
- Establish and evolve technical standards, architectural principles, and engineering excellence standards across the organization
- Own the technical roadmap for critical business initiatives involving AI; evaluate feasibility and set realistic timelines
- Champion investment in foundational improvements (refactoring, testing infrastructure, monitoring, security) that have organization-wide impact
- Influence platform-level decisions involving cost, latency, reliability, and model quality; balance business objectives with technical constraints
- Stay at the forefront of AI/ML research and industry trends; translate research into practical applications for the business
Organizational Leadership & Mentorship
- Mentor and develop senior engineers (IC3/IC4) and engineering leaders; support their growth into leadership and architectural roles
- Lead technical hiring; assess candidates at senior levels and contribute to building a world-class engineering team
- Establish and enforce engineering culture focused on technical excellence, learning, ownership, and collaboration
- Lead by example in code quality, testing discipline, security practices, and responsible AI principles
- Support manager and team leadership development; provide technical guidance to engineering managers and team leads
- Conduct architectural and design reviews; provide critical feedback that shapes the quality of technical decisions across the organization
- Foster knowledge sharing through documentation, technical talks, open-source contributions, and community engagement
- Create and refine career paths and professional development opportunities for engineering team members
Architecture & Systems Design
- Design and architect large, complex systems involving multiple teams, cloud infrastructure, and sophisticated AI/ML components
- Lead the design of evaluation frameworks, observability systems, and production monitoring for AI-driven features at scale
- Establish security architecture and responsible AI guardrails that scale across the platform
- Design high-performance data platforms, embedding systems, and retrieval pipelines that serve organization-wide needs
- Evaluate and guide adoption of new cloud services, managed AI services, and technologies
- Drive architectural decisions that balance competing concerns: performance, cost, scalability, reliability, developer experience, and business value
- Conduct research and prototyping on novel technical approaches; lead exploration of emerging AI/ML techniques
- Lead root cause analysis and architectural reviews for critical incidents; drive improvements to prevent recurrence
Cross-Organizational Influence & Communication
- Communicate technical vision and strategy to executives, product leadership, and engineering teams; influence organizational priorities
- Partner with product, design, and domain specialists to define ambitious technical roadmaps aligned with business strategy
- Represent the engineering organization in high-stakes customer and partnership discussions; build credibility and trust
- Lead or contribute to technical due diligence for acquisitions, partnerships, and strategic technology evaluations
- Translate complex AI/ML concepts, trade-offs, and limitations for audiences ranging from technical engineers to executive leadership
- Advocate for technical health, engineering culture, and long-term sustainability over short-term pressures
- Participate in industry forums, conferences, and communities; enhance the organization's external reputation
- Lead technical interviews and design discussions; mentor interviewing skills across the engineering organization
Software Development Excellence & Innovation
- Develop innovative solutions to the organization's most complex technical challenges, particularly around AI/ML integration and distributed systems
- Prototype and validate new approaches; share learnings and best practices across the organization
- Contribute to critical code paths and architectures; model best practices in code quality, testing, and maintainability
- Build evaluation frameworks, monitoring systems, and testing infrastructure that scale across the organization
- Implement security best practices, responsible AI guardrails, and compliance mechanisms that serve as templates for the organization
- Work with cloud services, managed AI services, Kubernetes, and infrastructure-as-code at an architectural level
- Troubleshoot and resolve the most complex production issues; establish practices to prevent future incidents
- Contribute to open-source projects, research initiatives, or industry collaboration where aligned with business strategy
ServiceNow Platform Strategy & Excellence
- Define platform architecture and integration patterns for AI-native ServiceNow applications
- Establish best practices and architectural standards for ServiceNow development across the organization
- Lead technical decisions on ServiceNow platform capabilities vs. custom development trade-offs
- Drive adoption of ServiceNow platform features and managed services; evaluate and recommend platform upgrades
- Partner with ServiceNow product teams and technical account managers on advanced integrations and customizations
- Mentor senior engineers on ServiceNow platform architecture and advanced development patterns
- Ensure applications remain compatible with ServiceNow platform updates and evolution
Customer Strategy & Support Leadership
- Shape organizational approach to customer support and issue resolution; establish standards for response and resolution
- Lead customer-critical incident response and complex troubleshooting; provide technical escalation path
- Engage with strategic customers on technical topics, roadmap alignment, and complex integration challenges
- Gather and synthesize customer feedback to inform product and platform strategy
- Establish programs and practices that improve customer experience and reduce support burden
- Work with customer success leadership to align technical capabilities with customer success metrics
- Lead technical due diligence and support in customer selection and onboarding processes
To Be Successful in this role you have
Employee Type: Regular Region: AMS - North America and Canada Work Persona: Flexible
Legal notes
14+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ years with a PhD; OR equivalent work experience Hands-on cloud-native and AI-native systems or equivalent senior-level roles Hands-on of experience with LLM/AI systems at scale, including prompt engineering, agent design, retrieval systems, and production AI/ML services 5+ years of hands-on experience building and scaling systems with third-party AI/ML services and platform APIs across multiple cloud providers 3+ years of experience designing and building applications on platform-as-a-service or SaaS platforms; deep expertise with ServiceNow platform(Preferred) at scale Expert-level proficiency in Python, Java, and JavaScript/GlideScript; deep expertise in ServiceNow scripting, APIs, and platform architecture Demonstrated expertise in distributed systems design, microservices architecture, and large-scale systems Proven track record designing high-performance, mission-critical data pipelines, embedding systems, and vector databases Expert knowledge of LLM orchestration frameworks, RAG architectures, retrieval optimization, and vector database technologies Deep expertise with cloud computing (AWS/GCP/Azure), managed AI services, and infrastructure-as-code Strong background in Kubernetes, containerization, and cloud-native deployment patterns Expertise in building evaluation frameworks, metrics systems, and production monitoring for AI/ML systems Experience with and strong opinions about secure coding practices, responsible AI, and compliance requirements Experience leading customer-critical initiatives or providing technical leadership on strategic accounts 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.
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