ServiceNow

Forward Deployed Software Engineer – Applied AI FDE

San Francisco, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, Artificial Intelligence, Cloud ComputingIndustries

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.

Location Type: Remote Employment Type: Full-time

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.

As a Senior Forward Deployed Software Engineer (FDSE), 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.

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.

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.

What You Will 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 You’ll Do

  • Deliver end-to-end builds in agile sprints—from architecture to deployment in production
  • Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components
  • Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed
  • Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers
  • Influence platform: inform product strategy through field-tested insights and extensible code

What Success Looks Like

  • Production-grade delivery: Your solution builds consistently convert to scaled deployments in production environments
  • Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects
  • Platform influence: Your work shapes internal tooling and is integrated into platform roadmap

Skills

AI
LLM
Software Engineering
Backend Services
Frontend Integrations
Agile Sprints
Cloud Platform

ServiceNow

Cloud-based platform for digital workflows

About ServiceNow

ServiceNow offers a cloud-based platform that helps businesses automate and manage their operations, improving efficiency and enhancing customer and employee experiences. The Now Platform includes applications for IT operations, customer service, human resources, and security operations, all accessible over the internet. Targeting large enterprises across various industries, ServiceNow operates on a software-as-a-service (SaaS) model, generating revenue through subscription fees and professional services. The company's goal is to streamline business processes and drive digital transformation for its clients.

Santa Clara, CaliforniaHeadquarters
2004Year Founded
$81.5MTotal Funding
IPOCompany Stage
Consulting, Consumer Software, Enterprise SoftwareIndustries
10,001+Employees

Benefits

Generous family leave
Flexible PTO
Matched Donations
Retirement benefits
Annual learning stipends
Paid volunteer time

Risks

Competitors like Nvidia and Google Cloud may outpace ServiceNow in AI advancements.
Over-reliance on AWS infrastructure could pose risks if AWS changes its strategy.
The departure of Era Software's co-founder may lead to strategic shifts within ServiceNow.

Differentiation

ServiceNow's Now Platform offers comprehensive digital workflow solutions across multiple business functions.
The company focuses on large enterprises, providing tailored solutions for diverse industries.
ServiceNow's SaaS model ensures steady recurring revenue through subscription fees.

Upsides

ServiceNow's partnership with AWS enhances AI-powered workflows, driving enterprise innovation.
The integration with Crowe Cyber Economic Risk Analyzer boosts ServiceNow's cybersecurity capabilities.
ServiceNow's AI-driven campaign with Idris Elba increases brand visibility and engagement.

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