← Back to all jobs
20d 18h left to apply
S

Forward Deployed Solution Engineer – Applied AI FDE

ServiceNow🌍 Remote WorldwideEstimated: $80,000 - $120,000

✨ AI Insights & Summary

ServiceNow is at the forefront of enterprise AI, offering a powerful platform that integrates AI, data, and workflows to enhance business operations for 85% of the Fortune 500. This Senior Forward Deployed Software Engineer role is an exceptional opportunity to work directly with strategic customers, shaping the future of enterprise AI by building and deploying cutting-edge, AI-native solutions. If you're a systems-minded engineer who thrives on solving complex problems and driving real-world impact with AI, this is your chance to be a CTO of the build and define the reference implementation for scalable GenAI.

About ServiceNow & The Applied AI Forward Deployed Engineering (FDE) Team

ServiceNow began with a simple idea: to automate tedious tasks and free people to focus on meaningful work. Today, we are the AI control tower for business reinvention, bringing together any AI, any data, and any workflow to help businesses work smarter. Our Applied AI FDE team is where bold ideas meet transformative action, partnering with our most strategic customers to shape the future of enterprise AI. We identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform.

Our mission is to partner deeply with 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 today demand that AI initiatives deliver tangible business value. This role is crucial for taking cutting-edge Large Language Model (LLM) capabilities and transforming them into resilient, secure, and scalable software solutions. As a Senior Forward Deployed Software Engineer (FDSE), you will act as the Chief Technology Officer for the build, owning everything from backend services and LLM pipelines to front-end integrations. You will partner directly with customers in the field to design, implement, and deliver solution-ready builds within agile sprints. Your software will serve as the reference implementation for scalable Generative AI in the enterprise, codifying patterns, shaping internal tooling, and accelerating innovation.

Who You Are

You are a systems-minded, AI-native engineer who is driven to ship real software. You own the full stack, motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You approach challenges with the mindset of a product-minded CTO, balancing creativity with pragmatism to deliver tangible impact. You excel at embedding deeply with customer teams, diagnosing root problems, and architecting AI-powered workflows that operate at scale. Your expertise extends beyond debugging code to diagnosing systems, context, and customer pain points.

What You Will Do

  • Build solution-ready LLM-enabled applications spanning 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 such as libraries, prompts, and scaffolds to accelerate future engagements.
  • Shape the developer experience by providing valuable feedback to platform and product teams.

What You’ll Do (Key Actions)

  • Deliver Production-Ready Solutions: Work in agile, end-to-end sprints to deliver production-ready solutions.
  • Engineer with Versatility: Develop expertise across APIs, orchestration pipelines, vector databases, LLM frameworks, and UI components.
  • Operate with Agility: Integrate with legacy systems, navigate ambiguity, and ship solutions safely and at speed.
  • Codify Patterns: Build scaffolds, SDKs, and documentation to scale success across multiple customers.
  • Influence Platform: Inform product strategy through field-tested insights and extensible code.

What Success Looks Like

  • Production-Grade Delivery: Consistently convert solution builds into scaled deployments in production environments.
  • Reusable Impact: Author libraries, prompts, and scaffolds that power multiple deployments and projects.
  • Platform Influence: Contribute to internal tooling and integrate your work into the platform roadmap and primitives.
  • Velocity and Precision: Move rapidly without compromising quality, shaping resilient, secure systems in high-stakes contexts.
  • Engineering Leadership: Be a trusted leader for architects, PMs, and customer teams, guiding implementation from concept to completion.

Qualifications

  • AI Integration Experience: Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving (e.g., using AI tools, automating workflows, analyzing AI insights).
  • Relevant Experience: 10+ years of software engineering experience, including at least 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: Strong proficiency in backend development (Python, Node.js, Java) and frontend development (React, Angular), with expertise in APIs (REST/GraphQL).
  • LLM Tooling Familiarity: Experience with frameworks like LangChain, Semantic Kernel, prompt chaining, vector search, and context management.
  • Performance & Observability: Skilled in debugging distributed systems, performance tuning for latency, and implementing monitoring solutions.
  • Platform Mindset: Ability to contribute to shared SDKs and tools to enhance organizational engineering velocity.
  • Product Sensibility: Capacity to prioritize for user value, implement MVP iterations, and plan for long-term scalability.
  • DevOps Fluency: Experience deploying solutions on AWS, Azure, or GCP, utilizing CI/CD, containers, and infrastructure-as-code.
  • Field Readiness: Willingness to travel up to 30% to embed onsite with customers.

Preferred Qualifications

  • Experience integrating AI into SaaS platforms such as ServiceNow or Salesforce.
  • A track record of successful production deployments in secure, regulated enterprise environments.
  • Contributions to developer experience tooling, frameworks, or reusable AI scaffolds.

Additional Information

Work Personas:
ServiceNow embraces flexibility and trust in its distributed work environment. Work personas (flexible, remote, or required in office) are assigned based on job nature and location. Eligibility may be confirmed via third-party services. Learn more here.

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. Arrest and conviction records will be considered in accordance with legal requirements.

Accommodations:
We are committed to creating an accessible and inclusive experience. If you require reasonable accommodation during the application process or need an alternative application method, please contact [email protected].

Export Control Regulations:
Employment for positions requiring access to controlled technology is contingent upon obtaining necessary export control approvals from government authorities.

Apply Now

This job is active but will expire soon. Click below to apply on the company's website.

Apply for this role ↗

Share Job

Know someone who would be a perfect fit? Share this opportunity.

Job Overview

Posted6/11/2026
CategoryAI & Machine Learning
SourceJobsCollider

FAQ

Is this position remote?

The Forward Deployed Solution Engineer – Applied AI FDE role is a onsite opportunity. The location specified is Remote Worldwide.

What is the salary?

The salary is not explicitly stated, but is competitive and based on experience.

How do I apply?

You can apply by clicking the "Apply for this role" button above to submit your application on the hiring website.

Similar Opportunities

R

Staff Machine Learning Engineer, ML Efficiency

Reddit, Inc.Remote Worldwide🏠 Remote
Competitive
AI & Machine Learning
View Job →
R

Senior Machine Learning Engineer, Ads Foundational Representations

Reddit, Inc.Remote Worldwide🏠 Remote
Competitive
AI & Machine Learning
View Job →
i

Principal Engineer - AI Platform

iHerbRemote Worldwide🏠 Remote
Competitive
AI & Machine Learning
View Job →