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. 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.
You Will
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 Production‑ready solution in agile end‑to‑end sprints
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
Qualifications
What You Bring
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision‑making, or problem‑solving. This may include using AI‑powered tools, automating workflows, analyzing AI‑driven insights, or exploring AI’s potential impact on the function or industry
Relevant Experience: 8+ years of software engineering, including 2+ years building systems in customer‑facing or embedded roles
System architecture: Proven ability to design and implement AI‑native software in production environments
Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)
LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
Product sensibility: Prioritize for user value, MVP iteration, and long‑term scale
DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra‑as‑code
Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters
Preferred Qualifications
Experience integrating AI into SaaS platforms like ServiceNow or Salesforce
Track record of production deployments in secure, regulated enterprise environments
Contributions to dev experience tooling, frameworks, or reusable AI scaffolds
Join us at the frontier of enterprise AI—where your code powers AI transformation, your systems go live in the real world, and your ideas shape how the future scales.
Additional Information
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third‑party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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