Forward Deployed Solution Engineer – Applied AI FDE

ServiceNow • Santa Clara, CA

3d • Hybrid

About The Position

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. Their mission is to partner deeply with customers to build intelligent, scalable AI solutions that solve mission-critical challenges. By embedding in real-world complexity, they deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise.

This role acts as the CTO of the build, owning everything from backend services to LLM pipelines and front-end integrations. The engineer partners with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. Their software becomes the reference implementation for scalable GenAI in the enterprise. They codify patterns, shape internal tooling, and accelerate innovation—delivering systems that are battle-tested in production and scalable across industries.

Requirements

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
• 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

Nice To Haves

• 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

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: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components
• Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed
• Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers
• Influence platform: inform product strategy through field-tested insights and extensible code

Benefits

• health plans
• flexible spending accounts
• a 401(k) Plan with company match
• ESPP
• matching donations
• a flexible time away plan
• family leave programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed