Forward Deployed Solution Engineer – Applied AI FDE

<p><u><strong>Team Bio:</strong>&#xa0;</u></p><p><strong>ServiceNow’s Applied AI Forward Deployed Engineering (FDE)</strong>&#xa0;team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform.&#xa0;</p><p><strong>Our mission:</strong>&#xa0;We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise.&#xa0;</p><p><u><strong>Why This Role Matters:</strong></u></p><p>Enterprises are raising the bar. AI initiatives must deliver business value—not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable software.&#xa0;</p><p>As a&#xa0;<strong>Senior Forward Deployed Software Engineer (FDSE)</strong>, you act as the CTO of the build—owning everything from backend services to LLM pipelines and front-end integrations. You partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation—delivering systems that are battle-tested in production and scalable across industries.&#xa0;</p><p><u><strong>Who You Are:</strong></u></p><p>You are a systems-minded, AI-native engineer who ships real software. You own the full stack—and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product-minded CTO, balancing creativity with pragmatism to deliver impact.&#xa0;</p><p>You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale. You don’t just debug code—you debug systems, context, and customer pain points.&#xa0;</p><p><strong><u>You will:</u>&#xa0;</strong></p><ul><li>Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI&#xa0;</li><li>Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments&#xa0;</li><li>Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements&#xa0;</li><li>Shape developer experience by sharing feedback with platform and product teams&#xa0;&#xa0;</li></ul><p><strong><u>What You’ll Do:</u>&#xa0;</strong></p><ul><li><strong>Deliver Production -&#xa0;</strong>ready<strong>&#xa0;</strong>solution in agile end-to-end sprints</li><li><strong>Engineer with versatility:</strong>&#xa0;APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components&#xa0;</li><li><strong>Operate with agility:</strong>&#xa0;integrate with legacy systems, navigate ambiguity, ship safely at speed&#xa0;</li><li><strong>Codify patterns:</strong>&#xa0;build scaffolds, SDKs, and documentation to scale success across customers&#xa0;</li><li><strong>Influence platform:</strong>&#xa0;inform product strategy through field-tested insights and extensible code&#xa0;</li></ul><p><u><strong>What Success Looks Like:</strong></u></p><ul><li><strong>Production-grade delivery:&#xa0;</strong>Your solution builds consistently convert to scaled deployments in production environments&#xa0;</li><li><strong>Reusable impact:</strong>&#xa0;You author libraries, prompts, and scaffolds that power multiple deployments and projects&#xa0;</li><li><strong>Platform influence:</strong>&#xa0;Your work shapes internal tooling and is integrated into platform roadmap and primitives&#xa0;</li><li><strong>Velocity and precision:</strong>&#xa0;You move fast without breaking things— ... (truncated, view full listing at source)