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AI Foundry Engineer

ServiceNow

AI Foundry Engineer

ServiceNow

Sydney

·

On-site

·

Full-time

·

1w ago

Required Skills

ServiceNow development

Prompt engineering

REST APIs

AI concepts

Workflow automation

As an AI Engineer, you turn bold ideas into tangible prototypes. You’re the hands-on builder behind our AI story, transforming vision into working demos and proof-of-concepts that show real business impact. Partnering with AI Solution Architects, you’ll combine Service Now’s Now Assist, Workflow Data Fabric, and platform automation to deliver intelligent, scalable solutions at speed.

Key Responsibilities

  • Build & Prototype — Develop proofs-of-concept, demos, and accelerators showcasing custom applications (low-code and pro-code), AI Agents, LLM integration, and data workflows on Service Now.
  • Technical Delivery — Implement apps, integrations, flows, data integrations, and prompt engineering. Ensure POC environments are securely configured, data is pre-loaded, and integrations are ready for demonstration.
  • Experimentation — Test and refine model performance, prompt design, and agentic automation.
  • Documentation — Maintain technical documentation, reusable scripts, and setup guides for repeatable delivery.
  • Collaboration — Work cross-functionally with SCs, Architects, Customer Excellence and Product Specialists to ensure successful handoff and scalability.
  • Scalable Assets — Take best use case assets to be repeated and scaled in our internal skills library to speed up time to delivery and knowledge transfer.

Required Skills & Experience

  • 3–5 years of experience in technical consulting, software development, data engineering, professional services or workflow automation.
  • Familiarity with Service Now development (Flow Designer, App Engine Studio, Integration Hub, etc.) or similar development platforms.
  • Subject knowledge of AI concepts (prompt engineering, REST APIs, Knowledge Graph, vector search etc).
  • Expertise in Service Now’s Agents and Now Assist Skills
  • Strong curiosity, hands-on technical builder mindset, and ability to work in rapid prototyping environments.
  • Clear communication and documentation skills.
  • Service Now certifications such as Certified System Administrator, Certified Application Developer, Certified Implementation Specialist, are desired. Related certifications from Databricks, Azure AI, AWS ML are also a plus.

Success Measures

  • Number and quality of working prototypes or accelerators built.
  • Effectiveness in participation of POCs/POVs
  • Speed of delivery from concept to demo.
  • Contribution to reusable assets and playbooks.
  • Growth in AI and platform proficiency.

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 Service Now employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, Service Now may confirm the distance between your primary residence and the closest Service Now office using a third-party service.

Equal Opportunity Employer

Service Now 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 globaltalentss@servicenow.com 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), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now 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.

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 — Service Now 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.

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About ServiceNow

ServiceNow

ServiceNow, Inc. is an American software company that supplies a cloud computing platform for the creation and management of automated business workflows. The company was founded in Santa Clara, California, United States, in 2003 by Fred Luddy.

10,001+

Employees

Santa Clara

Headquarters

Reviews

3.9

25 reviews

Work Life Balance

3.2

Compensation

3.8

Culture

2.8

Career

3.5

Management

2.9

45%

Recommend to a Friend

Pros

Good compensation and benefits package

Learning opportunities and skill development

Work-life balance emphasis and flexible remote options

Cons

Toxic management and politics

Heavy bureaucracy and slow decision making

Layoffs and restructuring uncertainties

Salary Ranges

31 data points

Mid/L4

Senior/L5

Mid/L4 · Business Strategy Specialist

6 reports

$122,814

total / year

Base

$106,795

Stock

-

Bonus

-

$122,799

$123,878

Interview Experience

11 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Offer Rate

45%

Experience

Positive 18%

Neutral 82%

Negative 0%

Interview Process

1

Application Review

2

Phone Screen/Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Final Round/Panel Interview

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience