Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow14 hours ago
Remote, United Kingdom or London, United KingdomStaff+
Responsibilities
- Build solution-ready LLM-enabled applications spanning backend logic, data orchestration, and frontend UI.
- Work directly with customers in the field to adapt, deploy, and iterate on solutions in live environments.
- Design and implement production-grade AI-native software and deliver end-to-end solutions in agile sprints.
- Build and maintain APIs, orchestration pipelines, vector database integrations, LLM frameworks, and UI components.
- Create reusable libraries, prompts, scaffolds, SDKs, and documentation for future customer deployments.
- Integrate solutions with legacy systems and operate safely in ambiguous, high-stakes enterprise environments.
- Debug distributed systems, tune latency, implement monitoring, and develop resilient and secure systems.
- Provide field-tested feedback to platform and product teams and influence product strategy and roadmap.
- Lead implementation from zero to one in partnership with architects, product managers, and customer teams.
Requirements
- 10+ years of software engineering experience, including 2+ years building systems 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.
- Proven ability to design and implement AI-native software in production environments.
- Strong backend experience with Python, Node.js, and Java, plus frontend experience with React and Angular.
- Experience with APIs, distributed systems, performance tuning, monitoring, and production deployment.
- 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 deploying in AWS, Azure, or GCP and contributing to shared SDKs, developer tools, frameworks, or reusable AI scaffolds.
- Product sensibility focused on user value, MVP iteration, and long-term scale.
- Ability to travel up to 30% and work closely with customer teams onsite when needed.
- Preferred experience integrating AI into SaaS platforms such as ServiceNow or Salesforce.
- Preferred track record of production deployments in secure, regulated enterprise environments.
Benefits
- Regular employee position in the EMEA region.
- Flexible or remote work persona, subject to role and location eligibility.
- Up to 30% travel to embed onsite with customers.
- ServiceNow provides an accessible and inclusive application process with reasonable accommodations available.
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.