- Company: ServiceNow
- Location: London, GREATER LONDON, gb, Remote
- Job type: Full-time
✅ Visa sponsor check: ServiceNow UK Limited (Staines Upon Thames) is on the UK Home Office register of licensed sponsors for Global Business Mobility: Senior or Specialist Worker, Skilled Worker (A rating), checked 26 October 2026. Being a licensed sponsor doesn’t guarantee sponsorship for this role: confirm it with the employer, and never pay anyone for a Certificate of Sponsorship.
About the role
ServiceNow’s Applied AI Forward Deployed Engineering team partners with strategic customers to shape the future of enterprise AI. As a Forward Deployed Solution Engineer, you will act as the CTO of the build, owning everything from backend services to LLM pipelines and front-end integrations. You will work in the field to design, implement, and deliver solution-ready builds in agile sprints, creating reference implementations for scalable Generative AI in the enterprise.
Responsibilities
- Build solution-ready LLM-enabled applications spanning 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 such as libraries, prompts, and scaffolds to accelerate future engagements.
- Shape developer experience by sharing feedback with platform and product teams.
- Deliver production-ready solutions in agile end-to-end sprints.
- Engineer with versatility across APIs, orchestration pipelines, vector databases, and LLM frameworks.
- Influence platform strategy through field-tested insights and extensible code.
Requirements
- 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).
- Familiarity with ML tools (e.g., MLflow, SageMaker, Vertex AI) and LLM tooling (e.g., LangChain, Semantic Kernel).
- Skilled in debugging distributed systems, tuning for latency, and implementing monitoring.
- 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.
Pay and benefits
Specific salary details are not listed in the job advertisement. ServiceNow is an equal opportunity employer and offers a flexible work environment based on assigned work personas.
How to apply
Apply directly on ServiceNow’s own careers website. Omadaily never charges job seekers.
