Want to professionalize your AI skills, pivot to an AI role and increase your salary?
Master AI Engineering with the most practical and comprehensive LLM Development certifications at Towards AI Academy.

ServiceNow

Intern - AI Foundry Engineer

ServiceNow

Published 04 Apr 2026
Singapore
Full Time

Share this job

Role Highlights

Languages used

JavaScript

Key skills

Data Science
Prompt Engineering
Vector Database
Computer Science
Integrations
API
Information Systems
Data Quality
System Administration
AI
Scripting
Machine Learning
Chatbot

Tools, Libraries and Frameworks

Rest
IOS
Flow

Description

ServiceNow Intern - AI Foundry Engineer \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Intern - AI Foundry Engineer Full-time Employee Type: Regular Region: APAC - Asia Pacific Work Persona: Required in Office 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 You will join the AI Foundry team in Singapore as an Intern, contributing directly to the assets and build that supports our POC delivery across APAC. This is a hands-on builder role. You will work on the ServiceNow platform daily, producing reusable templates, integration patterns, prompt libraries, and supporting active proof-of-concept engagements alongside our architects and engineers. This is not an observation program. You will own workstreams, deliver outputs on schedule, and present your work to the team. What You Will Do Build reusable assets on the ServiceNow platform: environment setup templates, integration patterns, demo storyboards, and AI Agent prompt libraries Support active POC builds by preparing data, configuring environments, capturing documentation, building basic flows, and running test cases under engineer direction Shadow live POC build sessions to understand how the team delivers AI solutions to enterprise customers Collect and catalog working patterns and prompts from team members across Singapore, India, and Australia/New Zealand Test your own deliverables on a Personal Developer Instance and document them for team adoption Present your completed work to the team at the end of the program Qualifications What We Are Looking For Currently enrolled in a Computer Science, Information Systems, Software Engineering, Data Science, AI, or related degree program Completed ServiceNow fundamentals training through the university partnership program Foundational understanding of AI and data concepts: how large language models work, what prompt engineering is, how data flows between systems, and why data quality matters for AI outcomes Comfortable building on platforms, not just studying concepts. We want people who enjoy shipping working things. Able to learn new tools quickly and work through ambiguity without waiting to be told every step Clear communicator who documents their work and asks questions early when blocked Genuine curiosity about how AI is applied in enterprise workflows, not just AI as an academic topic Nice to Have ServiceNow Certified System Administrator (CSA) or working toward it Experience with any of: Flow Designer, App Engine Studio, REST APIs, scripting (JavaScript), prompt engineering Hands-on experience with AI/ML tools, data pipelines, vector databases, or chatbot development in academic projects or prior internships Prior internship or project experience where you built and delivered something under a deadline 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 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. I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Intern - AI Foundry Engineer 6 Temasek Boulevard Suite 40-01, Singapore, Singapore Full-time I'm interested I'm interested

Required Qualifications and Skills

Candidates must be currently enrolled in a Computer Science, Information Systems, Software Engineering, Data Science, AI, or a related degree program. Completion of ServiceNow fundamentals training through a university partnership program is required. A foundational understanding of AI and data concepts, including how large language models work, prompt engineering, data flows, and data quality for AI outcomes, is necessary. The role seeks individuals comfortable with building on platforms and who enjoy creating working solutions. Strong communication skills, the ability to document work, and proactive questioning when blocked are also important. Genuine curiosity about the application of AI in enterprise workflows is desired.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

ServiceNow

Size

24363

HQ

Santa Clara, US

Public/Private

Public Company

Description

ServiceNow technology facilitates effective operations globally, and the organization is driven by a fast-moving, innovation-centric team. With more than 7,700 customers, including a substantial proportion of the Fortune 500, ServiceNow is recognized for its corporate culture and social impact, having been listed in FORTUNE 100 Best Companies to Work For and World's Most Admired Companies. ServiceNow believes in inclusivity, encouraging applications from a wide range of backgrounds, highlighting their commitment to hiring for potential and transferable skills. They pledge to support employees in living their best lives and using their unique talents, showcasing a commitment to ambitious goals and collective success.

Share

Share this job

Related jobs

Vector Database
Tech Lead
Integrations
Product Management
Munich, Germany
Full Time
Product Management
AI
Data
Consultant
Bangalore, India
Full Time
AI
Machine Learning
Data Science
Product Management
San Diego, Germany
Full Time