ServiceNow
Forward Deployed Solution Engineer – Applied AI FDE
$201K–$352K
Santa Clara, California, United States · Remote · Full-time · Posted Oct 7, 2026
- Experience
- 10+ years in software engineering, including 2+ years in customer-facing or embedded roles; also seeks experience leveraging or critically considering AI in work processes, decision-making, or problem-solving.
- Visa sponsorship
- For roles requiring access to controlled technology subject to export control regulations, employment is contingent on obtaining any required export license or government approval.
About the job
Build and deploy production-grade, customer-facing AI applications, then turn successful implementations into reusable tools and patterns for ServiceNow’s platform.
What you'll do
- Design, build, deploy, and iterate on LLM-enabled applications across backend services, data orchestration, and front-end interfaces.
- Work directly with customers in live environments to solve complex problems and deliver solutions in agile sprints.
- Create reusable libraries, prompts, scaffolds, SDKs, and documentation, and share field insights with platform and product teams.
What they ask for
- 10+ years of software engineering experience, including 2+ years in customer-facing or embedded roles.
- Proven ability to design and implement AI-native software in production environments.
- Strength in backend engineering, frontend development, and APIs.
- Experience deploying to AWS, Azure, or GCP, with CI/CD, containers, and infrastructure-as-code; able to travel up to 30%.
Nice to have
- Experience integrating AI into SaaS platforms such as ServiceNow or Salesforce.
- Production deployments in secure, regulated enterprise environments, or contributions to developer-experience tooling and reusable AI scaffolds.
Pay
$201,300 - $352,300 USD base pay
Tools
Python, Node.js, Java, React, Angular, REST/GraphQL, LangChain, Semantic Kernel
AI focus
Build and deploy scalable, secure LLM-enabled enterprise applications and workflows; develop reusable AI assets and contribute field-tested insights to platform tooling and strategy.
Model-written summary · the original posting is authoritative