About the job
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. As a Senior 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.
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 solutions in agile end-to-end sprints
Engineer with versatility across APIs, orchestration pipelines, vector DBs, LLM frameworks, and UI components
Qualifications
Minimum
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
10+ years of software engineering, 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
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
Preferred
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