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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
Team overview
We are AI Services, a shared services platform team building solutions around Machine Learning and Generative AI capabilities. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. As a Senior Machine Learning Software Engineer, You will play a major part in building solutions around Generative AI and Machine Learning (ML) capabilities that transform the user experience and workflow efficiency of enterprise services. you will be instrumental in developing and maintaining robust tools and services that enable customers to create, test, and deploy custom skills and prompts. You will also ensure seamless integration with other ServiceNow products and external LLM providers, such as Gemini, Azure and AWS. By joining our team, you will play a crucial role in shaping the future of AI capabilities on the ServiceNow platform, ensuring that our customers can harness the power of generative AI to improve productivity and self-deflection
What you get to do in this role:
Qualifications
Qualifications
To be successful in this role you have:
Key Responsibilities:
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 .
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.
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
Team overview
We are AI Services, a shared services platform team building solutions around Machine Learning and Generative AI capabilities. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. As a Senior Machine Learning Software Engineer, You will play a major part in building solutions around Generative AI and Machine Learning (ML) capabilities that transform the user experience and workflow efficiency of enterprise services. you will be instrumental in developing and maintaining robust tools and services that enable customers to create, test, and deploy custom skills and prompts. You will also ensure seamless integration with other ServiceNow products and external LLM providers, such as Gemini, Azure and AWS. By joining our team, you will play a crucial role in shaping the future of AI capabilities on the ServiceNow platform, ensuring that our customers can harness the power of generative AI to improve productivity and self-deflection
What you get to do in this role:
- Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
- Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
- Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
- Help design and implement new products and features while also enhancing the existing product suite
Qualifications
Qualifications
To be successful in this role you have:
- 7+ years of related experience with a Bachelor's degree; or 6+ years and a Master's degree or equivalent work experience
- At least 5+ yrs of Java and Python Development experience with strong problem-solving abilities.
- A solid understanding of Cloud technologies such as Docker and Kubernetes
- Knowledge in at least one Additional programming language like Go lang, JavaScript or AngularJS is a plus
- The ability to adapt quickly and tackle new challenges in an agile manner is highly valued.
Key Responsibilities:
- Develop and maintain Java, Python and Go Lang -based applications with a focus on efficiency and scalability.
- Collaborate with cross-functional teams to design and implement Cloud solutions using Docker and Kubernetes.
- Utilize expertise in object-oriented programming languages like Java, Python and/or Go lang to enhance application functionality.
- Demonstrate agility by promptly addressing new challenges and finding effective solutions.
- Experience with prompt engineering: ability to craft, test, and optimize prompts for task accuracy and efficiency
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 .
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.
ServiceNow Toronto, Ontario, CAN Office
161 Bay St., Toronto, Ontario, Canada
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
