Staff Software AI Engineer

We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them.Our ServiceNow Digital Technology Go to Market team is building a world-class, AI-powered Go-To-Market CRM that gives every seller real-time, data-driven guidance from lead to cash and right inside the Now Platform. Our Agentic AI and GenAI infused apps automate outreach, deal orchestration, and post-sale hand-offs creating a world class experience for our sellers. You’ll collaborate with product managers, data scientists, and UX engineers to ship features at SaaS speed and global scale. Expect a culture of rapid experimentation, rigorous engineering excellence and continuous learning. If you’re passionate about turning cutting-edge AI into tangible revenue impact, we’d love to meet you.We’re seeking a highly skilled Staff Software AI Engineer with development experience and a background in the Go-To-Market (GTM) domain. This role blends application development with cutting-edge AI capabilities. You will work on the ServiceNow platform, leverage AIA Studio for low-code AI workflows and build intelligent solutions using technologies like Agentic AI, Retrieval-Augmented Generation (RAG) and Knowledge Graphs (KGs). Your work will help transform how sales, marketing, and customer-facing teams operate.What you get to do in this role:ServiceNow Engineering: Develop scalable and maintainable applications and workflows within the ServiceNow platform, aligning with GTM use cases (e.g., sales enablement, lead management, partner ops).AIA Studio Development: Leverage AIA Studio to orchestrate AI workflows, integrate machine learning models, and streamline decision-making in GTM processes.AI System Design: Design AI-powered systems that use LLMs, Agentic AI, and semantic retrieval to deliver contextual insights and automation.RAG + KG Solutions: Build and maintain RAG pipelines enriched with Knowledge Graphs to surface relevant, real-time data to sales to help close the deal.Agentic Workflows: Implement AI agents capable of task planning and execution (e.g., lead routing, customer scoring, higher deal velocity).Cross-functional Collaboration: Work closely with Product, Business Operations to identify opportunities, design solutions, and deliver measurable impact.Scalability & Reliability: Build resilient, secure, and high-performance systems using industry best practices.Technical Leadership: Contribute to team success through mentorship, design discussions, and by setting high standards for code quality and innovation.