Remote Forward Deployed Solution Engineer – Applied AI FDE

Description:

• ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team partners with strategic customers to shape the future of enterprise AI.
• The team identifies high-value opportunities, accelerates business outcomes, and builds reusable AI-native solutions that advance the Now AI Platform.
• As a Senior Forward Deployed Solution Engineer (FDSE), you will own everything from backend services to LLM pipelines and front-end integrations.
• You will work closely with customers to design, implement, and deliver solution-ready builds in agile sprints.
• Your software will serve as the reference implementation for scalable GenAI in the enterprise.
• You will codify patterns, shape internal tooling, and accelerate innovation, delivering systems that are battle-tested in production and scalable across industries.
• You will build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI.
• You will operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments.
• You will codify reusable assets such as libraries, prompts, and scaffolds to accelerate future engagements.
• You will shape developer experience by sharing feedback with platform and product teams.

Requirements:

• You must have experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• You should have at least 8+ 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 is required.
• You should have strong skills in backend (Python, Node.js, Java), frontend (React, Angular), and APIs (REST/GraphQL).
• Familiarity with LLM tooling such as LangChain, Semantic Kernel, prompt chaining, vector search, and context management is necessary.
• You must be skilled in debugging distributed systems, tuning for latency, and implementing monitoring.
• A platform mindset is essential, with the ability to contribute to shared SDKs and tools.
• You should have a product sensibility, prioritizing user value, MVP iteration, and long-term scale.
• Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code is required.
• You must be able to travel up to 30% to embed onsite and deliver where it matters.

Benefits:

• The position offers a base pay of $173,100 - $303,000, plus equity (when applicable) and variable/incentive compensation.
• Health plans are included, along with flexible spending accounts.
• A 401(k) Plan with company match is provided.
• Employees can participate in an Employee Stock Purchase Plan (ESPP) and matching donations.
• A flexible time away plan and family leave programs are also offered.
• Compensation is based on geographic location and is subject to change based on work location.