We are seeking a ServiceNow-focused GenAI Engineer to design and deliver AI‑powered agents and automations across the Now Platform. You will leverage ServiceNow capabilities (Virtual Agent, Now Assist, Generative AI Controller, IntegrationHub, Flow Designer) and ITIL practices to improve service experiences and operational efficiency while ensuring security, compliance, and measurability.
What you’ll do:
Design, implement, and iterate GenAI use cases on ServiceNow, including Virtual Agent topics, Agent Assist, auto‑summarization, resolution note drafting, KB authoring, and intelligent triage/routing.
Build resilient integrations using Scripted REST APIs, REST Message/SOAP Message, IntegrationHub spokes, Flow Designer, and MID Server for on‑prem systems.
Translate ITIL processes (Incident, Problem, Change, Request, Knowledge, CMDB, SLA/OLA) into robust AI‑enabled workflows with proper approvals, audit trails, and handoffs.
Configure and use the Generative AI Controller with approved providers (e.g., Azure OpenAI, OpenAI, Vertex AI) and apply prompt templates, guardrails, and content filtering.
Implement retrieval and knowledge experiences using AI Search and Knowledge Management; integrate external RAG or vector search when needed via IntegrationHub or sidecar services.
Develop secure, maintainable ServiceNow code: Business Rules, Script Includes, ACLs, Data/UI Policies, Client Scripts, UI Actions, Workspaces/Experience/UI Builder.
Define SLOs/SLAs for AI features; implement telemetry via Performance Analytics, logging, and evaluations; enable A/B testing and human‑in‑the‑loop review where appropriate.
Apply secure-by-design and Responsible AI practices: PII redaction, least‑privilege ACLs, encryption controls, and compliance with organizational and platform guidelines.
Requirements:
4+ years of software engineering experience, including 2+ years building production integrations or services with JavaScript/TypeScript (Node.js).
Hands-on experience building and consuming REST APIs and SOAP services (OpenAPI/Swagger, WSDL/XSD, XML/JSON, API gateways, request signing, WS-Security).
Demonstrated experience delivering LLM-powered solutions (agents, RAG, tool/function calling, prompt engineering) in production or enterprise pilots.
Working knowledge of ITIL v3/v4 processes.
Experience integrating with ITSM platforms (e.g., ServiceNow, BMC Helix/Remedy, Jira Service Management) and enterprise identity/access controls.
Proficiency with cloud services (AWS, Azure, or GCP) and at least one managed LLM platform (Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic).
Familiarity with vector databases/search (e.g., Pinecone, FAISS, Weaviate, Elastic/ES, Azure AI Search) and embedding pipelines.
Solid understanding of testing and quality for AI systems (unit/integration tests, offline/online evaluation, A/B tests, human-in-the-loop review).
Experience with Git-based workflows and CI/CD (e.g., GitHub Actions, GitLab, Jenkins, Azure DevOps), containers (Docker), and basic Kubernetes or serverless deployment.
Strong communication, documentation, and stakeholder management skills.
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.
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