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

Qualifications

To Be Successful in this role you have:

• 12+ 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
• 4+ years in cloud-native and AI-native systems or equivalent senior-level roles
• 5+ years 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 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
• Exceptional communication skills; ability to influence across levels of technical seniority and non-technical audiences; demonstrated customer engagement experience
• Proven ability to lead large, cross-functional technical initiatives; track record of significant technical accomplishments
• Strong background in software architecture, system design, and technical strategy; experience shaping platform strategy and roadmap
• Experience mentoring senior engineers, engineering managers, or technical leaders
• Experience leading customer-critical initiatives or providing technical leadership on strategic accounts
• Bachelor's degree in computer science, engineering, or related field; advanced degree or significant AI/ML research/publications is a plus
• Active engagement with the broader engineering and AI/ML community (conferences, publications, open-source, etc.)
• Demonstrated thought leadership in AI-native development, cloud architecture, or software engineering

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.