Transformation Engineer

PVH (Tommy Hilfiger/Calvin Klein); Dublin; On-site; EUR 85,000 - 130,000; Full time

Benefits offered by this job

Mentorship

Annual L&D budget

Increased ownership

Job summary

Learnosity is seeking an engineer for its Enterprise Transformation team in Ireland to build AI-enabled automation, integrations, and copilots across business functions. You’ll work in rotations, turning business problems into technically actionable solutions and driving adoption with BizOps and COPO partners.

You will stay curious about the AI landscape, pioneer reusable components, and contribute to change management as you deliver end-to-end capabilities that scale across the organization.

Qualifications

• Strong software engineering fundamentals with experience in AI-enabled systems, automation, integrations, and knowledge management.
• Ability to translate business problems into actionable technical plans and drive adoption beyond deployment.
• Comfort working across rotations and collaborating with BizOps, COPO, and functional teams.

Responsibilities

• Understand before you build — support discovery sessions with functional teams and leaders, translating business problems into technically actionable briefs.
• Contribute to a prioritized build pipeline, in partnership with the BizOps team, focused on high-value, high-feasibility opportunities.
• Ask good questions to ensure a technology solution is the right answer; the goal is better outcomes, not more AI.
• Design and deliver AI capabilities — agents, internal copilots, knowledge assistants, intelligent automation, RAG systems, document intelligence, and agentic workflows with increasing independence.
• Contribute to integrations across Learnosity’s enterprise technology stack and close gaps that slow teams down.
• Build for reuse — ensure solutions and components are adaptable across functions, not one-off.
• Document work clearly to spread knowledge across rotations.
• Support the change, not just the build — drive adoption with practical training and documentation, and contribute to guidance, prompt libraries, and playbooks tailored to each function.

Skills

AI systems

Automation

Integrations

Knowledge management

Translate business problems

Adoption focus

Cross-rotation collaboration

Job description

Overview

Learnosity is the global leader in assessment technology, powering more than 130 of the world’s leading learning platforms and reaching over 40 million active learners. The company is evolving from an API-first assessment platform into an intelligent learning infrastructure company, with new AI-powered products in customers’ hands and more on the way. Learnosity is building an Enterprise Transformation capability to fundamentally change how the organization operates. This is one of the founding engineering hires of that capability.

Why Join Us

• Build Something That Didn’t Exist Before — join a new Enterprise Transformation team from its earliest days and help establish how AI is adopted and scaled across functions such as Finance, People, Customer Success, Client Support, Sales, and Operations.
• Shape the Foundations — help set build patterns, playbooks, and standards that shape how the function operates as it grows.
• Build and Transform — collaborate across disciplines and avoid purely isolated work to accelerate growth and impact.
• Growth & Development — clear runway toward a senior transformation engineering role, with mentorship, an annual L&D budget, and increasing ownership as you build your track record.

About the Role

We’re looking for an engineer who combines strong build capability with a solid grasp of how a business operates, and the instinct to make what they build stick. You’ll bring real engineering fundamentals and sharpen your transformation instincts by turning messy business problems into solutions that people actually adopt. The engineering is the foundation, and you’ll design and build AI agents, automations, integrations, RAG systems, internal copilots, and agentic workflows tailored to the needs of each business function you work with. You’ll take on more end-to-end ownership as you gain context across rotations.

Technical delivery isn’t enough on its own. You’ll work closely with the BizOps team and the wider Transformation function to understand the business problem before building anything, and you’ll take an active role in change and adoption work to ensure a solution sticks — partnering with COPO and BizOps on stakeholder and change management. You’ll stay curious about the AI landscape, try new tools, read about emerging approaches, and bring learnings back to the team.

This role operates on a rotation model. Rotations are shaped by where the need is greatest — sometimes embedding inside a single business function, sometimes working across several on shared problems. Duration is determined by backlog depth and complexity. Your first rotation will be agreed before you join. The goal of every rotation is to leave capability behind, not dependency.

Rotation Model & How It Works

Each rotation follows a consistent arc with duration varying by function and complexity. What stays constant is the handoff standard and the support provided. Solutions are owned by Enterprise Transformation and built to be reusable. What you help leave behind — integrations, agent scaffolds, prompt libraries, and playbooks — becomes shared infrastructure for the entire organization.

Key Responsibilities

• Understand before you build — support discovery sessions with functional teams and leaders, translating business problems into technically actionable briefs.
• Contribute to a prioritized build pipeline, in partnership with the BizOps team, focused on high-value, high-feasibility opportunities.
• Ask good questions to ensure a technology solution is the right answer; the goal is better outcomes, not more AI.
• Design and deliver AI capabilities — agents, internal copilots, knowledge assistants, intelligent automation, RAG systems, document intelligence, and agentic workflows with increasing independence.
• Contribute to integrations across Learnosity’s enterprise technology stack and close gaps that slow teams down.
• Build for reuse — ensure solutions and components are adaptable across functions, not one-off.
• Document work clearly to spread knowledge across rotations.
• Support the change, not just the build — drive adoption with practical training and documentation, and contribute to guidance, prompt libraries, and playbooks tailored to each function.

Qualifications & Desired Experience

• Strong software engineering fundamentals with experience in AI-enabled systems, automation, integrations, and knowledge management.
• Ability to translate business problems into actionable technical plans and drive adoption beyond deployment.
• Comfort working across rotations and collaborating with BizOps, COPO, and functional teams.