Forward Deployed Solution Engineer – AppliedAI FDE

ServiceNow, Inc.

Santa Clara (CA)

On-site

USD 201,000 - 352,000

Full time

14 days+

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Benefits offered by this job

Health plans

401(k) Plan with company match

ESPP

Matching donations

Flexible time away plan

Family leave programs

Job summary

ServiceNow is hiring an AI-native forward deployed engineer to deliver production-grade AI-enabled software across backend, data orchestration, and frontend UI. You will work directly with customers in live environments, shaping scalable AI-powered workflows and reusable assets for future engagements.

The role requires deep systems thinking, hands-on coding, and field readiness. You will bring 10+ years in software engineering, strong backend and frontend skills, and experience with LangChain,

Qualifications

10+ years of software engineering experience, including 2+ years building systems in customer-facing or embedded roles.
Experience integrating AI into work processes, decision-making, or problem-solving.
Strong backend (Python, Node.js, Java) and frontend (React, Angular) skills, plus robust API design knowledge.

Responsibilities

Deliver production-ready LLM-enabled applications spanning backend logic, data orchestration, and frontend UI.
Operate in the field with customers to deploy and iterate in live environments.
Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements.
Shape developer experience by feeding feedback to platform and product teams.
Deliver production-ready solutions in agile end-to-end sprints.
Engineer with versatility across APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components.

Skills

AI integration

System architecture

Backend development

Frontend development

LLM tooling

Performance monitoring

Platform mindset

Product sense

DevOps

Field readiness

API design

Tools

Python

Node.js

Java

React

Angular

REST/GraphQL

LangChain

Semantic Kernel

Vector DBs

CI/CD

Containers

IaC

Job 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.

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 - 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

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.

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 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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