前置部署解决方案工程师 – 应用AI FDE
Forward Deployed Solution Engineer – Applied AI FDE
#### 公司简介
一切始于工程师Fred Luddy为他的同事Phyllis编写了一段自动化繁琐任务的代码。她喜极而泣。那一刻激发了Fred创建一家公司，让每个人都能摆脱琐事，专注于有意义的工作。如今，ServiceNow是企业重塑的AI控制中心。我们的ServiceNow AI平台整合任何AI、任何数据和任何工作流，帮助85%的财富500强®企业更聪明、更快、更好地工作。我们正在打造一种AI原生文化，让技术和人才 unstoppable 一起前行。而我们才刚刚开始。
加入我们，让AI为人们工作。
#### 职位描述
**团队简介：**
**ServiceNow的Applied AI Forward Deployed Engineering（FDE）团队** 是大胆想法与变革行动交汇的地方。我们与最重要的客户合作，塑造企业AI的未来。我们共同识别高价值机会，加速业务成果，并构建可复用的AI原生解决方案，推动Now AI平台的发展。
**我们的使命：** 我们与客户深度合作，构建智能、可扩展的AI解决方案，解决他们最核心的挑战。通过嵌入现实世界的复杂性，我们快速交付，有目的地迭代，并将每个成功转化为可复用的模式，加速Now平台及整个企业的转型。
**为什么这个角色很重要：**
企业正在提高标准。AI项目必须创造商业价值，而不仅仅是承诺潜力。这意味着将最先进的LLM能力转化为稳健、安全且可扩展的软件。
作为**高级Forward Deployed Software Engineer（FDSE）**，你将担任项目的CTO，负责从后端服务到LLM流水线以及前端集成的所有内容。你将与现场的客户合作，设计、实现并交付可解决问题的构建版本。你的软件将成为企业中可扩展GenAI的参考实现。你将定义模式，塑造内部工具，加速创新——交付在生产环境中经过考验且跨行业可扩展的系统。
**你是谁：**
你是一位以系统思维为导向、具备AI原生能力的工程师，能够交付真正的软件。你掌握全栈技术，并同样被优雅的API、直观的UI和可扩展的编排流水线所激励。你像一位以产品为导向的CTO一样思考，在创造力与务实之间取得平衡，以实现价值。
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#### Company Description
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
#### 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.
**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 -** readysolution 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
- **Platform influence:** Your work shapes internal tooling and is integrated into platform roadmap and primitives
- **Velocity and precision:** You move fast without breaking things—shaping resilient, secure systems in high-stakes contexts
- **Engineering leadership:** You are trusted by architects, PMs, and customer teams to lead implementation from zero to one
#### 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:** 10+ 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
For positions in this location, we offer a base pay of **$201,300 - $352,300**, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
#### Additional Information
**Work Personas**
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](https://careers.servicenow.com/life-at-servicenow#workpersonas). 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, religion, sex, sexual orientation, national origin, age, disability, gender identity, 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](mailto: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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