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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Solution Engineer - AppliedAI FDE - **Company:** ServiceNow - **Location:** Greater London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Reference Implementation, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Continuous Integration, Software Debugging, DevOps, Distributed Systems, Python (Programming Language), Node.Js, Salesforce.Com, Search Technologies, Software Deployment, Software Engineering, Systems Architecture, Application Enhancement Tool, ReactJS, Large Language Models, Backend, AngularJS, Material UI, Low Latency, Graphql, Front End Software Development, GPT, Data Pipelines, Legacy Systems, Servicenow - **Published:** September 9, 2026 - **Apply:** https://www.collegerecruiter.com/job/2854918150-forward-deployed-solution-engineer--appliedai-fde ## About the Role You are a systems-minded, AI-native engineer who ships real software. You own the full stack-and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product-minded CTO, balancing creativity with pragmatism to deliver impact. You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale. You don't just debug code-you debug systems, context, and customer pain points., * 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 * Relevant Experience: 10+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles * System architecture: Proven ability to design and implement AI-native software in production environments * Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) * LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management * Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring * Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org * Product sensibility: Prioritize for user value, MVP iteration, and long-term scale * DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code * Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters, * 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 ## Description 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 codify patterns, shape internal tooling, and accelerate innovation-delivering systems that are battle-tested in production and scalable across industries., * 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, * 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 What Success Looks Like * Production-grade delivery: Your solution builds consistently convert to scaled deployments in production environments * Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects * Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives * Velocity and precision: You move fast without breaking things-shaping resilient, secure systems in high-stakes contexts * Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one, We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [This App Reached 10,000 Users in One Week. 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