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# ServiceNow Integration & AI Engineer

- **Company:** Invovia
- **Location:** UK (Remote available)
- **Salary:** £124,800.0 - £187,200.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Node.Js, Datadog, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Backend, Agentic-AI, Containerization, Front End Software Development, Servicenow, Golang
- **Published:** October 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c50ce35136e3b863

## About the Role

Must Have:

Agentic AI & LLM Expertise: Proven experience with multi-agent orchestration, tool/function calling, enterprise RAG design, evaluation, and safety guardrails.

Production Engineering Depth: Strong full-stack backend capabilities (Python, Node.js, Go, or similar), containerization, CI/CD, and experience balancing latency, cost, and reliability in live environments.

Client-Facing Communication: Exceptional ability to articulate technical trade-offs, collaborate with enterprise stakeholders, and lead technical discussions.

Adaptability & High Ownership: Demonstrated ability to quickly master unfamiliar technical platforms and thrive in a fast-evolving team environment with fluid ways of working.

Nice to Have:

· Awareness of the ServiceNow SDK and standard enterprise workflow integration patterns.

· Basic familiarity with ServiceNow's Now Assist AI capabilities.

· Foundational understanding of traditional ML model setup and types (regression, classification, clustering).

## Description

Design & Deploy Agentic AI Solutions: Architect autonomous multi-agent workflows integrated with ServiceNow to handle incident triage, telemetry correlation, change risk assessment, and cross-system provisioning.

LLM Engineering & Orchestration: Build robust RAG pipelines, function-calling frameworks, guardrails, and evaluation systems (using LangChain, LangGraph, MCP, or custom frameworks).

Full-Stack & Cloud Execution: Write production-ready APIs/backends, build necessary frontend interfaces, and manage deployment through containers, CI/CD pipelines, and observability tooling.

Technical Client Leadership: Translate complex enterprise business problems into actionable technical designs, present trade-offs to senior stakeholders without jargon, and manage client expectations directly.

Platform Adaptation: Quickly ramp up on platform-specific tools-including ServiceNow SDK and Now Assist-to connect modern AI stack architectures directly into enterprise workflow engines.