IT Systems, AI Engineer

loveholidays

. Administer and continuously improve SaaS platforms and AI-enabled services, including configuration, access, environments, integrations and lifecycle management .

Posted 10/22/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in administering and improving SaaS platforms and AI-enabled services, with a strong focus on building agentic workflows and automation pipelines. Proficient in managing cloud environments and applying secure operational practices to enhance service reliability and performance.

Highest-signal resume keywords

SaaS Platform AdministrationAI Workflow AutomationGoogle ADK FrameworkREST APIsCloud Environment Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Configuration ManagementUser Access ManagementIntegration ManagementRelease ManagementIncident ManagementOrchestrationRetrieval-Augmented GenerationEvaluation TechniquesCI/CD PracticesObservability

Tools & Technologies

Google Cloud PlatformAPIsWebhooksEvent-Driven PipelinesAutomation Tools

Industry Keywords

Change ManagementGovernanceOperational PracticesService Health MonitoringVendor Support

Tech Stack

Tools & technologies

CloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Administer and continuously improve SaaS platforms and AI-enabled services, including configuration, access, environments, integrations and lifecycle management
Build and maintain applied and agentic AI workflows and automation pipelines connecting models, tools, business data, APIs and SaaS systems
Use Google ADK or similar frameworks to build, test and iterate on tool-using agents and AI-powered automations
Monitor service health, usage, cost and performance
Lead testing, evaluation and incident triage to improve reliability and prevent recurring issues
Partner with product, engineering, security, vendors and business teams to translate needs into platform configurations, integrations and automations
Document configurations, dependencies and runbooks
Apply secure change-management, governance and operational practices
Contribute to production services from day one, improving reliability, automation and operational outcomes

Requirements

What you’ll need

Experience administering cloud-based SaaS business systems, including configuration, user access, environments, integrations, release management and vendor support
Experience building agentic workflows combining models, tools and business data, including orchestration, retrieval-augmented generation and evaluation
Familiarity with Google ADK or similar frameworks is desirable
Strong knowledge of REST APIs, webhooks, and event-driven or scheduled pipelines
Familiarity with cloud environments, preferably Google Cloud Platform
Familiarity with CI/CD, observability, incident management and secure operational practices

Benefits

Comp & perks

Company pension contributions at 5%
Individualised training budget for you to learn on the job and level yourself up
Discounted holidays for you, your family and friends
25 days of holidays per annum plus 8 public holidays, increasing by 1 day every second year of service up to a maximum of 30 days per annum
Ability to buy and sell annual leave
Cycle to work scheme
Season ticket loan
Eye care vouchers
Inclusive and accessible hiring process with interview adjustments available