Senior Staff AI Platform Architect

ServiceNow; Santa Clara (CA); Hybride; USD 191 000 - 334 000; Plein temps

Avantages offerts par ce poste

Health plans

401k Plan

ESPP

Matching donations

Flexible time away

Family leave

Résumé du poste

ServiceNow seeks a Senior Staff Engineer to define the technical vision across AI-native and cloud-native systems, driving architecture for AI-enabled platforms at scale. You will mentor senior engineers, lead architectural reviews, and shape strategic directions while partnering with executives to align technology with business goals.

The role emphasizes hands-on leadership in AI/ML deployment, platform reliability, and secure, responsible AI practices across evolving cloud services and

Qualifications

• 14+ years of software development experience with a Bachelor's degree
• Hands-on cloud-native and AI-native systems or equivalent senior-level roles
• Hands-on experience with LLM/AI systems at scale, including prompt engineering, 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

Responsabilités

• 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
• 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
• 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 performance, cost, scalability, reliability, developer experience, and business value
• Conduct research and prototyping on novel technical approaches; lead exploration of emerging AI/ML techniques
• 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 for diverse audiences
• Advocate for technical health, engineering culture, and long-term sustainability
• Participate in industry forums; enhance external reputation
• Lead technical interviews and design discussions; mentor interviewing skills across the organization
• Develop innovative solutions to AI/ML integration and distributed systems challenges
• Prototype and validate new approaches; share learnings 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
• Implement security best practices, responsible AI guardrails, and compliance mechanisms
• 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 preventive practices
• Contribute to open‑source projects, research initiatives, or industry collaboration

Connaissances

AI/ML systems

Cloud-native systems

Kubernetes

Leadership

Mentorship

Architectural design

Security practices

Formation

Bachelor's degree in Computer Science

Outils

ServiceNow platform

Kubernetes

Cloud services

Description du poste

ServiceNow seeks a Senior Staff Engineer to define the technical vision across AI-native and cloud-native systems, driving architecture for AI-enabled platforms at scale. You will mentor senior engineers, lead architectural reviews, and shape strategic directions while partnering with executives to align technology with business goals.

The role emphasizes hands-on leadership in AI/ML deployment, platform reliability, and secure, responsible AI practices across evolving cloud services and