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:

• Design and implement AI-driven solutions that deliver measurable impact, from automation and insights to intelligent customer experiences.
• Build high-quality, scalable, and reusable code with a focus on AI integration, applying best practices in architecture, testing, and CI/CD.
• Collaborate with product owners and cross-functional teams to translate business challenges into AI-powered solutions that drive efficiency, innovation, and measurable results.
• Contribute to the end-to-end AI lifecycle- data collection, model integration, performance monitoring, and continuous improvement.
• Experiment with emerging AI frameworks, LLMs, and automation tools to prototype innovative solutions for real-world impact.
• Mentor colleagues and foster AI literacy and knowledge-sharing, promoting responsible and effective AI adoption across the organization.
  Qualifications

TO BE SUCCESSFUL IN THIS ROLE YOU HAVE:

• Strong experience in leveraging AI to drive business or operational impact, including automating workflows, generating insights, or enhancing decision-making.
• 6+ years of experience with Java or a similar OO language, with expertise in designing scalable, high-performance systems.
• Proficiency in JavaScript and modern web frameworks (React, Angular, Vue) with a focus on building intelligent, componentized solutions.
• Solid understanding of data structures, algorithms, and design patterns, applied in AI-driven applications.
• Familiarity with cloud AI platforms and services.
• Strong analytical skills and ability to assess AI opportunities, impact, and risk while delivering complex projects.
  Additional Information