Forward Deployed Solution Engineer, ServiceNow

• 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
• Proven ability to design and implement AI-native software in production environments
• Strength in backend (Python, Node.js, Java), frontend (React, Angular), and APIs (REST/GraphQL)
• Foundations in 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
• Skill in debugging distributed systems, tuning for latency, and implementing monitoring
• Ability to contribute to shared SDKs and tools to raise engineering velocity across the organisation
• Ability to prioritise for user value, MVP iteration, and long-term scale
• Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infrastructure as code
• Able to travel up to 30% to embed onsite and deliver where it matters

Desirable

• ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team partners with strategic customers to shape the future of enterprise AI, identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions for the Now AI Platform
• The team partners with customers to build intelligent, scalable AI solutions for mission-critical challenges. By embedding in real-world complexity, it delivers quickly, iterates with purpose, and turns successes into reusable patterns for transformation across the Now Platform and the broader enterprise
• As a Forward Deployed Solution Engineer (FDSE), 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 patterns, shape internal tooling, and deliver production-tested systems that can scale across industries
• Build solution-ready LLM-enabled applications spanning backend logic, data orchestration, and front-end UI
• Work side-by-side with customers in the field to adapt, deploy, and iterate in live environments
• Codify reusable assets—including libraries, prompts, and scaffolds—to accelerate future engagements
• Share feedback with platform and product teams to shape developer experience
• Deliver production-ready solutions in agile, end-to-end sprints
• Engineer APIs, orchestration pipelines, vector databases, LLM frameworks, and UI components
• Integrate with legacy systems, navigate ambiguity, and ship safely at speed
• Build scaffolds, SDKs, and documentation to scale success across customers
• Inform product strategy through field-tested insights and extensible code
• Deliver solutions that consistently convert to scaled production deployments
• Author libraries, prompts, and scaffolds that power multiple deployments and projects
• Shape internal tooling and contribute work to the platform roadmap and primitives
• Build resilient, secure systems in high-stakes contexts while moving quickly without breaking things
• Lead implementation from zero to one, earning the trust of architects, product managers, and customer teams