Forward Deployed Solution Engineer – Applied AI...

@ ServiceNow

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 Bio: ServiceNow’s Applied AI Forward Deployed Engineering (FDE) 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.

Our mission: 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.

Why This Role Matters

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.

Who You Are

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.

What You’ll Do

• Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI.
• Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments.
• Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements.
• Shape developer experience by sharing feedback with platform and product teams.

What Success Looks Like

• Production-grade delivery.
• Reusable impact.
• Platform influence.
• Velocity and precision.
• Engineering leadership.

Qualifications

8+ years of software engineering, including 2+ years in customer-facing roles. Proven ability to design and implement AI-native software in production environments.