Lead AI Automation Engineer - Europe

Orix Digi; Harrow; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Orix Digi is seeking a Lead AI Automation Engineer to own AI workflow automation and orchestration outcomes for Europe, translating demand signals into measurable impact. Based in London with hybrid work, you will drive KPI governance, weekly optimization, and cross-functional collaboration to improve execution quality and speed.

You will lead end-to-end delivery, translate goals into KPI trees, run experiments, and document learnings for scalable decisions.

Qualifications

• 7–10 years of experience in AI workflow automation and orchestration.
• Hands-on with OpenAI, n8n, API integrations.
• Strong communication and stakeholder management in cross-functional environments.
• Data-informed decision making with KPI and performance analysis.
• Demonstrated ownership mindset with the ability to execute against deadlines.

Responsibilities

• Own end-to-end delivery for AI Automation Engineer initiatives, from planning through execution and optimization.
• Translate business goals into KPI trees, sprint priorities, and measurable weekly actions.
• Run structured experiments and document performance learnings for scaling decisions.
• Collaborate with adjacent teams to align creative, technical, and operational dependencies.
• Maintain QA discipline, reporting clarity, and leadership-ready status updates.

Skills

AI workflow

Orchestration

Cross-functional

KPI analysis

OpenAI

n8n

API integrations

Tools

OpenAI

n8n

API integrations

Job description

AI & Automation

Lead AI Automation Engineer - Europe

Own AI workflow automation and orchestration outcomes for Europe markets by translating demand signals into measurable pipeline and revenue impact.

Role Overview

Position scope, strategic mission, and operating context.

Role Mission

Drive reliable execution in AI workflow automation and orchestration with clear KPI governance, weekly optimization cycles, and high-quality stakeholder communication.

Business Context

• You will work with cross-functional squads supporting campaigns and delivery systems across Europe markets.
• This role contributes to our region-country-city operating model and reinforces commercial accountability.
• You will partner with strategy, delivery, and analytics leads to improve execution quality and speed.

Role Snapshot

• Department: AI & Automation
• Employment Type: Full Time
• Work Model: Hybrid
• Primary Location: London (Hybrid) with Europe collaboration

Core Responsibilities

Expected ownership areas and day-to-day execution scope.

• Own end-to-end delivery for AI Automation Engineer initiatives, from planning through execution and optimization.
• Translate business goals into KPI trees, sprint priorities, and measurable weekly actions.
• Run structured experiments and document performance learnings for scaling decisions.
• Collaborate with adjacent teams to align creative, technical, and operational dependencies.
• Maintain QA discipline, reporting clarity, and leadership-ready status updates.

Requirements And Qualifications

Capabilities required to perform the role at a high level.

Required Experience

• 7-10 years of experience in AI workflow automation and orchestration.
• Hands-on capability with OpenAI, n8n, API integrations.
• Strong communication and stakeholder management in cross-functional environments.
• Data-informed decision making with comfort in KPI and performance analysis.
• Demonstrated ownership mindset with the ability to execute against deadlines.

Preferred Qualifications

• Experience working across multi-country or multi-region delivery environments.
• Track record improving conversion quality, efficiency, or operational reliability.
• Confidence in SOP documentation and process governance.

Hiring Process

Structured selection focused on capability, execution quality, and team fit.

1

Step 1: Application Review

Capability evidence and role fit are assessed against clear decision criteria.

2

Step 2: Role and Experience Screening

Capability evidence and role fit are assessed against clear decision criteria.

3

Step 3: Practical Assessment

Capability evidence and role fit are assessed against clear decision criteria.

4

Step 4: Leadership Interview

Capability evidence and role fit are assessed against clear decision criteria.

5

Step 5: Offer and Onboarding

Capability evidence and role fit are assessed against clear decision criteria.