Forward Deployed Software Engineer – Applied AI FDE

About the position

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.

Responsibilities

• 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
• Deliver Production-ready solution 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

Requirements

• 8+ years of software engineering experience, including 2+ years building systems in customer-facing or embedded roles
• Proven ability to design and implement AI-native software in production environments
• Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)
• Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
• Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
• Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
• Prioritize for user value, MVP iteration, and long-term scale
• Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code
• Able to travel up to 30% to embed onsite and deliver where it matters

Nice-to-haves

• 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

Benefits

• Health plans, including flexible spending accounts
• 401(k) Plan with company match
• Employee Stock Purchase Plan (ESPP)
• Matching donations
• Flexible time away plan
• Family leave programs