Vice President, AI & Machine Learning Engineering

· Remote

Location

Remote

Type

Full Time

Job Description

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Vice President AI & Machine Learning Engineering

Vice President AI & Machine Learning Engineering

Reposted An Hour Ago
Hiring Remotely in Santa Clara CA USA
Remote or Hybrid
292K-496K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
We're putting AI to work for people.
The Role
Lead global AI/ML engineering to define and execute model and platform strategy build agentic AI and omni-channel AI experiences scale ML infrastructure (training feature stores serving MLOps) drive applied research (NLP generative AI RAG RL) and recruit and grow a 100+ engineering organization to deliver enterprise-grade AI for Fortune 500 customers.
Summary Generated by Built In
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
At ServiceNow we're building the AI control tower for business reinvention. We are seeking an exceptional VP of AI & Machine Learning Engineering to lead the teams building our core AI products and capabilities - branded as Now Assist - delivered across IT HR Supply Chain Finance and CRM serving industries from telco and healthcare to manufacturing banking and insurance. This leader will drive the architecture development and delivery of key AI/ML capabilities embedded across the Now Platform - including AI model strategy natural language understanding agentic AI orchestration voice recommendation systems and the ML infrastructure that powers enterprise-scale operations.
A key focus area is applying autonomous AI to the enterprise work context - building multi-step multi-department business process automation that fundamentally changes how the world's largest companies operate. This includes advancing ServiceNow's model strategy training and deploying purpose-built models optimized for enterprise workflows and delivering omni-channel AI resolution across Chat Voice Computer Use and Generative UI - with governance trust and transparency.
You will lead a world-class AI/ML engineering organization partnering closely with Product Platform Data UX and Cloud teams to embed intelligence into every layer of the ServiceNow experience. This is a high-impact leadership role with direct influence on ServiceNow's AI-first transformation and competitive differentiation.
Responsibilities
  • Define and execute AI/ML strategy for your engineering domain aligning research engineering and product delivery to ServiceNow's business objectives and revenue growth.
  • Drive development and scaling of the Agentic AI Platform & Search - building foundational infrastructure for autonomous multi-step agents that orchestrate complex multi-department business processes with built-in governance and trust.
  • Deliver omni-channel AI resolution and fulfillment enabling seamless autonomous experiences across Chat Voice Computer Use and Generative UI.
  • Lead model strategy execution - including third-party and domain-specific models - optimizing for enterprise workflows at Fortune 500 scale.
  • Build and operate enterprise-grade ML infrastructure: model training pipelines feature stores model serving A/B experimentation and MLOps at cloud scale.
  • Lead applied research in NLP generative AI retrieval-augmented generation (RAG) vision recommendation systems and reinforcement learning for enterprise use cases.
  • Partner across Platform Data Product and UX teams to deliver intelligence at the right time with the right context in the flow of work.
  • Recruit develop and scale a global AI/ML engineering organization of 100+ across the US India and Europe cultivating a culture of research excellence and product impact.
  • Represent ServiceNow as a thought leader in enterprise AI - engaging the broader AI community supporting publications and conference participation and helping attract world-class talent.

Qualifications
Qualifications
  • MS or PhD in Computer Science AI Machine Learning or a closely related field. Exceptional candidates with a BS and a strong industry track record will also be considered.
  • 12+ years of progressive experience in AI/ML engineering and research with 3+ years in senior leadership roles (Senior Director or VP level) at leading technology companies.
  • Deep technical expertise across the modern AI stack: large language models transformer architectures generative AI NLP/NLU agentic AI systems RAG and reinforcement learning.
  • Proven track record fine-tuning and deploying foundation models at production scale with hands-on knowledge of distributed training model optimization and inference efficiency.
  • Experience building and scaling ML platforms and infrastructure - including feature stores model registries experimentation frameworks and CI/CD pipelines for ML systems.
  • Demonstrated success shipping AI-powered products in enterprise or B2B SaaS contexts with clear understanding of governance and trust requirements for Fortune 500 customers.
  • Strong publication record or patent portfolio in top venues (NeurIPS ICML CVPR ACL KDD) and active engagement with the research community.
  • Experience leading globally distributed engineering teams of 100+ with a track record of recruiting and retaining world-class AI talent.
  • Strong executive presence - able to communicate AI strategy and technical vision to senior leadership customers and non-technical stakeholders with clarity and conviction.
  • Strategic thinker with a builder's mindset balancing long-term research investments with near-term product delivery in a fast-paced high-growth environment.

Preferred Qualifications
  • Prior Director or VP title at a major technology company or high-growth AI-native company.
  • Experience with enterprise workflow platforms knowledge management systems or operational intelligence at scale.
  • Background in building or integrating conversational AI chatbot or virtual agent technologies for enterprise use cases.
  • Experience supporting M&A technical integration - helping absorb acquired AI teams and technology into a larger platform organization.
  • Thought leadership through published research open-source contributions conference presentations or advisory roles in the AI community.

For positions in this location we offer a base pay of $291500 - $495600 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 creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status 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

  • MS or PhD in Computer Science AI Machine Learning or closely related field (BS considered for exceptional candidates)
  • 12+ years progressive experience in AI/ML engineering and research with 3+ years in senior leadership (Senior Director or VP level)
  • Deep technical expertise with large language models transformer architectures generative AI NLP/NLU agentic AI systems RAG and reinforcement learning
  • Proven experience fine-tuning and deploying foundation models at production scale including distributed training model optimization and inference efficiency
  • Experience building and scaling ML platforms and infrastructure: feature stores model registries training pipelines model serving experimentation frameworks and CI/CD for ML
  • Demonstrated success shipping AI-powered products in enterprise or B2B SaaS contexts with governance trust and enterprise security considerations
  • Strong publication record or patent portfolio and active engagement with the research community (NeurIPS ICML CVPR ACL KDD etc.)
  • Experience leading and scaling globally distributed engineering teams of 100+ across multiple regions
  • Executive presence with ability to communicate AI strategy and technical vision to senior leadership customers and non-technical stakeholders
  • Strategic thinker balancing long-term research investments with near-term product delivery in high-growth environments
  • Prior Director or VP title at a major technology or AI-native company
  • Experience with enterprise workflow platforms knowledge management systems or operational intelligence at scale
  • Background in building or integrating conversational AI chatbot or virtual agent technologies for enterprise use cases
  • Experience supporting M&A technical integration of acquired AI teams and technologies

What the Team is Saying

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ServiceNow Compensation & Benefits Highlights

  • Healthcare StrengthHealth coverage is presented as comprehensive including medical dental vision disability life insurance and an EAP with a defined number of free counseling visits per incident; materials also highlight mental‑health support. This breadth positions core healthcare as a strong pillar of the package.
  • Parental & Family SupportPaid parental leave is described as substantial (e.g. 20 weeks for birthing parents and 12 weeks for non‑birthing parents) alongside fertility adoption assistance and caregiver resources. This combination signals robust family-oriented support.
  • Leave & Time Off BreadthTime off includes flexible PTO 12 paid holidays tenure‑based vacation targets (15/18/20 days by service) and periodic company wellbeing days. Together these create multiple avenues for rest and flexibility.

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The Company
HQ: Santa Clara CA
29000 Employees
Year Founded: 2004

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 8400+ 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.comFrom 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.

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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.

Typical time on-site: Flexible
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Date Posted

06/25/2026

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