Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow2 days ago
Remote, United Kingdom or London, United KingdomStaff+
Responsibilities
- Build solution-ready LLM-enabled applications spanning backend logic, data orchestration, and front-end UI.
- Work directly with customers in the field to diagnose problems, adapt solutions, deploy systems, and iterate in live environments.
- Design and implement production-grade AI-native software across APIs, orchestration pipelines, vector databases, LLM frameworks, and UI components.
- Create reusable libraries, prompts, scaffolds, SDKs, and documentation for use across customer engagements.
- Integrate solutions with legacy systems and deliver safely in ambiguous, high-stakes enterprise environments.
- Provide field-tested feedback and extensible code to influence platform, product, and developer-experience roadmaps.
- Lead implementations from zero to one and support scalable production deployments.
Requirements
- 10+ years of software engineering experience, including 2+ years in customer-facing or embedded roles.
- Experience integrating AI into work processes, decision-making, or problem-solving, including AI-powered tools, workflow automation, or AI-driven insights.
- Ability to design and implement AI-native software in production environments.
- Backend experience with Python, Node.js, or Java and frontend experience with React or Angular.
- Experience with APIs, including REST and GraphQL.
- Foundational experience with MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, and SQL.
- Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management.
- Experience debugging distributed systems, tuning latency, and implementing monitoring.
- Ability to contribute to shared SDKs, tools, frameworks, and reusable AI scaffolds.
- Experience deploying on AWS, Azure, or GCP with CI/CD, containers, and infrastructure-as-code.
- Ability to travel up to 30% for onsite customer engagements.
- Preferred: experience integrating AI into SaaS platforms such as ServiceNow or Salesforce.
- Preferred: production deployment experience in secure, regulated enterprise environments.
Benefits
- Flexible or remote work persona, depending on assigned work location.
- Regular employee position in the EMEA region.
- Up to 30% travel for customer engagements.
Tech Stack
AngularApache AirflowApache SparkAWSAzureGoogle Cloud PlatformGraphQLJavaMLflowNode.jsPandasPythonReactSQL
Categories
Forward Deployed
About ServiceNow
ServiceNow builds a cloud platform for enterprise digital workflows, covering IT service management, customer service, HR service delivery, security operations, and operations management, plus tools for custom app development. It sells subscription SaaS to large organizations and public-sector agencies to automate processes and connect data across systems. Founded in 2004 and headquartered in Santa Clara, California, ServiceNow is a public company listed on the NYSE under the ticker NOW.