Forward Deployed Solution Engineer (Applied AI (FDE))

Join ServiceNow's Applied AI Forward Deployed Engineering (FDE) team as a Forward Deployed Solution Engineer (FDSE). In this role, you will partner with strategic customers to build intelligent, scalable AI solutions for mission-critical challenges. You will act as the CTO of the build, owning work from backend services to LLM pipelines and front-end integrations. You will also have the opportunity to shape internal tooling, deliver production-tested systems, and inform product strategy through field-tested insights.

- Act as the CTO of the build, owning work from backend services to LLM pipelines and front-end integrations. - Partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. - Codify reusable assets—including libraries, prompts, and scaffolds—to accelerate future engagements.

- Proven ability to design and implement AI-native software in production environments - Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infrastructure as code - Ability to contribute to shared SDKs and tools to raise engineering velocity across the organisation - Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management - Strength in backend (Python, Node.js, Java), frontend (React, Angular), and APIs (REST/GraphQL) - Experience 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 experience, including 2+ years building systems in customer-facing or embedded roles - Skill in debugging distributed systems, tuning for latency, and implementing monitoring - Foundations in MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, and SQL - Ability to prioritise for user value, MVP iteration, and long-term scale - Able to travel up to 30% to embed onsite and deliver where it matters - Track record of production deployments in secure, regulated enterprise environments - Experience integrating AI into SaaS platforms like ServiceNow or Salesforce - Contributions to developer experience tooling, frameworks, or reusable AI scaffolds