Forward Deployed Senior Software Engineer

Forward Deployed Software Engineer – Applied AI FDE (Full Stack Engineer) ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. 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. 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 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. 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. 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 end-to-end builds in agile sprints—from 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 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, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations 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 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. 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. #J-18808-Ljbffr