[Hiring] Forward Deployed Solution Engineer @ServiceNow

Role Description

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. Your software becomes the reference implementation for scalable GenAI in the enterprise.

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 assets—libraries, prompts, scaffolds—to accelerate future engagements
• Shape developer experience by sharing feedback with platform and product teams

Qualifications

• 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
• 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

Requirements

• 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

• Base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation, and benefits
• Health plans, including flexible spending accounts
• 401(k) Plan with company match
• ESPP and matching donations
• Flexible time away plan and family leave programs