Forward Deployed Solution Engineer – Applied AI FDE
About The Position
ServiceNow’s Applied AI Forward Deployed Engineering team partners with strategic customers to identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions for the Now AI Platform. The role turns cutting-edge LLM capabilities into resilient, secure, scalable enterprise software, working closely with customers to design, implement, and deliver solution-ready builds in agile sprints. The engineer owns end-to-end implementation across backend services, LLM pipelines, data orchestration, and front-end integrations. They embed with customer teams to diagnose problems, adapt and deploy solutions in live environments, and iterate based on real-world needs. The role also codifies reusable patterns and assets, helps shape developer experience, and shares field-tested feedback with platform and product teams. Success includes production-grade delivery, reusable contributions, platform influence, high engineering velocity and precision, and trusted technical leadership from initial implementation through scale.
Requirements
- 5+ years of software engineering experience, including 2+ years building systems in customer-facing or embedded roles.
- Experience leveraging AI or critically considering how to integrate AI into work processes, decision-making, or problem-solving.
- Proven ability to design and implement AI-native software in production environments.
- Backend engineering strength in Python, Node.js, or Java.
- Frontend engineering strength in React or Angular.
- Experience with REST or GraphQL APIs.
- Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management.
- Skill debugging distributed systems, tuning for latency, and implementing monitoring.
- Ability to contribute to shared SDKs and tools that improve engineering velocity.
- Product sensibility, including prioritizing user value, MVP iteration, and long-term scale.
- Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infrastructure as code.
- Ability to travel up to 30% to embed onsite and deliver solutions.
Nice To Haves
- Experience integrating AI into SaaS platforms such as ServiceNow or Salesforce.
- Track record of production deployments in secure, regulated enterprise environments.
- Contributions to developer experience tooling, frameworks, or reusable AI scaffolds.
Responsibilities
- Build solution-ready LLM-enabled applications spanning backend logic, data orchestration, and front-end UI.
- Work alongside customers in the field to adapt, deploy, and iterate solutions in live environments.
- Deliver production-ready solutions in agile, end-to-end sprints.
- Engineer APIs, orchestration pipelines, vector databases, LLM frameworks, and UI components.
- Integrate with legacy systems, navigate ambiguity, and ship safely at speed.
- Build reusable libraries, prompts, scaffolds, SDKs, and documentation to scale success across customers.
- Share field-tested insights and extensible code with platform and product teams to influence product strategy and internal tooling.
- Debug distributed systems, tune latency, and implement monitoring for resilient, secure systems.
- Lead implementation from initial build through production deployment in collaboration with architects, product managers, and customer teams.
Benefits
- Health plans
- Flexible spending accounts
- 401(k) plan with company match
- Employee stock purchase plan (ESPP)
- Matching donations
- Flexible time away plan
- Family leave programs
- Equity, when applicable
- Variable or incentive compensation
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
