The AI Futures team is looking to accelerate the adoption of generative AI across the platform by designing and building reusable demos, agents, and proof-of-concepts to drive product feedback, customer engagement, and field enablement.
Requirements
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
- Build high-quality, scalable, and reusable demo solutions that showcase GenAI capabilities in real-world use cases.
- Experience in prompt engineering and GenAI
- Experience in using AI productivity tools such as Cursor, Windsurf, etc is a plus or nice to have
- Work closely with field, product, and engineering stakeholders to understand needs and translate them into demo assets and proof-of-concepts.
- Create parameterized or templatized demos that reduce lift for future engagements and support internal reuse.
- Actively contribute to the formation of best practices, patterns, and technical playbooks through hands-on work—not theoretical process.
Responsibilities
- 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
- Contribute to the design and implementation of new products and features while also enhancing the existing product suite
- Build high-quality, scalable, and reusable demo solutions that showcase GenAI capabilities in real-world use cases.
- Lead design and development of AI-powered agents, workflow solutions, and customer-centric scenarios across ITOM, CSM, and beyond.
- Stay current with new AI features and rapidly prototype integrations to validate value and usability.
Other
- Be a mentor for colleagues and help promote knowledge-sharing
- Mentor and collaborate with peers across the team to accelerate team velocity and knowledge sharing.
