loveholidays

Applied AI Engineer

In short

This is a lead-level role managing the Applied AI team within loveholidays' AI Centre of Excellence, combining people management with hands-on technical leadership over applied and agentic AI workflows, SaaS platforms and integrations. The company is a travel booking platform (loveholidays), and the role sits within Business IT & AI Operations, owning both engineering delivery and third-party SaaS supplier/account relationships. It demands proven experience line-managing engineers, owning SaaS supplier accounts and contracts, and hands-on technical direction for AI agent workflows (e.g. Google ADK), REST/webhook integrations, and cloud production operations (preferably GCP). Hybrid role based in London.

About the role
You'll lead the Applied AI team within the wider AI Centre of Excellence, setting technical direction and managing the engineers who build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues. You'll work closely with business verticals, engineering, security and senior stakeholders to turn business priorities into a clear roadmap and measurable outcomes. You'll combine people management with hands-on technical leadership across applied and agentic AI workflows, SaaS services, integrations and data pipelines. You'll guide architecture and delivery, develop the team's capabilities and own relationships with third-party SaaS suppliers, ensuring our platforms are reliable, secure and deliver value for money. The team sits within Business IT & AI Operations. You'll provide the direction, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively, balancing new opportunities with service quality, cost and long-term maintainability.
Responsibilities
•Lead and line-manage Applied AI engineers, setting clear goals, providing regular feedback and coaching, supporting career development and managing performance.
•Help recruit and onboard new team members as the team grows.
•Set the team's technical direction and delivery roadmap with business and technology stakeholders, prioritising work, allocating capacity and managing dependencies to deliver measurable business outcomes.
•Provide hands-on technical leadership for applied and agentic AI workflows, integrations and automation pipelines, guiding architecture, reviewing designs and code, and contributing to complex or high-impact engineering work.
•Set standards for building, testing and evaluating tool-using agents with Google ADK or similar frameworks, including safe tool access, human oversight and production readiness.
•Own operational performance across AI-enabled services and SaaS platforms, including service health, access, releases, usage and cost.
•Lead incident escalation and continuous improvement, with clear evaluation criteria and service measures.
•Own account management for third-party SaaS suppliers, acting as the primary relationship owner and running regular service and roadmap reviews.
•Hold suppliers accountable for agreed service levels, resolve escalations and coordinate their delivery with internal priorities.
•Manage the supplier and contract lifecycle with procurement, finance, legal and security, covering selection, onboarding, licensing, commercial negotiations, contractual obligations, renewals, notice dates and exit planning.
•Own spend management for the team's SaaS and AI services, working with finance to forecast and manage costs against agreed budgets, explain variances and optimise licences and consumption.
•Track adoption, spend and value, and inform build-versus-buy decisions.
•Establish engineering and operational standards for secure change management, documentation, runbooks and governance.
•Communicate progress, risks and trade-offs clearly, and ensure services have clear ownership and support arrangements.
Requirements
•People & Delivery Leadership: Experience line-managing engineers, coaching and developing people, managing performance and leading delivery. Able to set direction, prioritise competing demands and build a collaborative, accountable team.
•SaaS Supplier & Account Management: Experience owning third-party supplier relationships, service reviews, escalations, licensing and renewals. Commercial judgement and the ability to work with procurement, finance, legal and security to improve service quality and value for money.
•SaaS Platform Ownership: Experience leading the administration and lifecycle management of cloud-based business systems, including configuration, user access, environments, integrations and releases.
•Applied AI & Technical Direction: Strong experience delivering applied and agentic AI workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Able to make architecture and build-versus-buy decisions, establish engineering standards and guide others. Familiarity with Google ADK or similar frameworks is desirable.
•Engineering & Integration: Strong hands-on engineering skills and experience designing and reviewing REST API, webhook and event-driven or scheduled integrations between SaaS platforms, AI services and backend systems.
•Operational & Stakeholder Leadership: Experience operating production services in cloud environments, preferably Google Cloud Platform, using CI/CD, observability, incident management and secure operational practices. Able to explain technical and commercial trade-offs, influence stakeholders and connect delivery to business outcomes.
Interview journey
1.Intro with a member of the Talent Acquisition team - 30 mins
2.1st stage video interview with the hiring manager - 1 hour
3.Applied AI technical leadership, team management and SaaS supplier management task
4.Final stage with Director of Applied AI and senior stakeholders - 1 hour
About loveholidays
We're on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You'll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path.
Benefits
•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 for 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 and eye care vouchers

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