Forward Deployed Software Engineer â Applied AI FDE
Forward Deployed Software Engineer â Applied AI FDE
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1 Vacancy
Job Description
Team Bio:
ServiceNows 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 valuenot 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 buildowning 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 innovationdelivering 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 stackand 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 dont just debug codeyou 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 assetslibraries prompts scaffoldsto accelerate future engagements
- Shape developer experience by sharing feedback with platform and product teams
What Youll Do:
- Deliver end-to-end builds in agile sprintsfrom 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 and primitives
- Velocity and precision: You move fast without breaking thingsshaping 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: 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 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 AIwhere your code powers AI transformation your systems go live in the real world and your ideas shape how the future scales.
For positions in this location we offer a base pay of $173100 - $303000 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. 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 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 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.
From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- Data Structures
- JavaScript
- Software Development
- Java
- Distributed Systems
