Senior Principal AI Architect at ServiceNow

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

380700.0

Posted On

25 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solution Architecture, Machine Learning, Generative AI, Data Science, Technical Advice, Collaboration, Systems Thinking, Analytical Skills, Problem-Solving, Agile Methodologies, Customer Focus, Communication Skills, Implementation, AI Development, Prototyping, Validation

Industry

Software Development

Description

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: The Customer Excellence Group - Strategy & Product - Catalyst Center of Excellence will be responsible for partnering with the Platform and Product Business Unit Product Management and Engineering organizations to deliver a transformational AI‑first implementation and adoption experience for ServiceNow’s customers. You are being hired to work on one of the most exciting initiatives at one of the fastest-growing Enterprise AI companies in the industry. As an AI-Native Senior Principal AI Architect, Delivery Acceleration, you will work with the product, implementation experts, both internal and external, to design, productize, and pilot agentic & generative AI‑first setup and implementation experiences, driving down the time it takes for ServiceNow and its partners to deliver implementation programs and projects. You’ll drive early pilots across ServiceNow’s core product families, partner tightly with Platform and Product BU product management and engineering, and collaborate with strategic partners and early adopters. Your North Star: dramatically compress (SDLC) solution delivery lifecycle leading to lower time‑to‑first-meaningful‑use, accelerate product adoption, and deliver a consistently excellent, AI‑enabled implementation journey that reduces deployment friction and improves renewal outcomes. Responsibilities: Set architectural standards for autonomous implementation agents (patterns, governance, observability, human‑in‑the‑loop). Validate agent viability across representative customer environments; de‑risk data, guardrails, and performance with STEP (Product Org). Engagement with Platform team and LLM providers to facilitate requirements for Agents (e.g., trust, latency, security) Provide technical advice and guidance to early implementation partners on how to best utilize ServiceNow’s AI-first implementation and adoption to dramatically reduce time-to-first-use. Collaborate with cross-functional teams, including platform and product management and engineering, Global Partners & Channels, Impact teams, and Expert Services, to prioritize, design, productize, and pilot ServiceNow’s AI-first implementation and adoption capabilities. Stay up-to-date with fast-changing industry trends and emerging AI / autonomous technologies in the field of GenAI and Agents, and apply this knowledge to continuously improve and evolve ServiceNow’s implementation & adoption offerings. Contribute to thought leadership and point-of-view documents, white papers, knowledge base articles, reference architectures, and other documentation to make information about ServiceNow’s AI-first implementation & adoption capabilities more accessible to the broader Impact Delivery organization, customers, and partners Design, build, validate, and deploy delivery and implementation‑specific agents. Co‑drive pilots with ServiceNow’s early adopter customers. Qualifications To be successful in this role, you must have: 10+ years of solution architecture experience across multiple platforms, workflows, vendor products, and AI; deep ML/LLM patterns. Prior experience developing AI use cases (Generative, Agentic, Predictive) from prototyping all the way into Production is a must-have with a variety of different AI technologies ServiceNow Certified System Administrator and other ServiceNow Certified Implementation Specialist certifications are nice to have. 5+ years of experience in a technology advisory or implementation role, with a focus on Generative AI, Artificial Intelligence, Machine Learning, or Data Science, is required. Proven track record of driving business growth and customer satisfaction through innovative technology solutions Exceptional systems thinking; hands-on AI development & prototyping, and validation skills. Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical audiences. Strong analytical and problem-solving skills. Ability to work effectively in a fast-paced, dynamic environment. Familiarity with Agile methodologies and experience working in an Agile environment. Strong problem-solving skills and ability to work independently or as part of a team. Strong industry connections and network, with the ability to leverage relationships to drive business growth and partnerships. Customer-focused mindset and commitment to delivering high-quality results. Excellent collaboration with product, engineering, QE, and field teams. Must be able to travel up to 50% annually. For positions in this location, we offer a base pay of $217,500 - $380,700, 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. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Responsibilities

The role involves designing, productizing, and piloting AI-first implementation experiences to enhance customer adoption and reduce deployment friction. You will collaborate with various teams to drive early pilots and validate agent viability across customer environments.