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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Transformation Lead - **Company:** Valsea Technology - **Location:** Marbella, Spain (Remote available) - **Salary:** €55,000.0 - €90,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Management of Software Versions, Data Processing, Large Language Models, Multi-Agent Systems, Model Validation, Zapier, Generative AI, Data Management, Machine Learning Operations - **Published:** September 24, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role 5+ years of experience in transformation, product, consulting, operations, or AI-focused roles, with at least 2 years actively shipping AI or automation solutions in a business setting. Strong working knowledge of the current AI landscape: LLMs, generative AI, RAG, agents, AI workflow and automation platforms, and the trade-offs between them. Hands-on capability; you don't need to be a senior engineer, but you can build a working prototype, design and iterate prompts and run a meaningful evaluation. Process and workflow design: you can sit with a team, map how work actually happens, spot the bottlenecks, and redesign the process around AI rather than sprinkling it on top. A ROI mindset: you think in baselines, business outcomes, and measurable impact; not demos and pilot decks. Change management instincts: you know that adoption is harder than building, and you have the patience and communication skills to bring people along. Stakeholder management across levels; comfortable presenting to executives, running workshops with operators, and pairing with engineers in the same week. A strong communicator who can translate AI concepts for non-technical audiences and business needs for technical ones. Comfortable with ambiguity: when requirements are unclear, you ask the right questions, align with stakeholders, and find a way forward. Organised and proactive: you take ownership and keep things moving. Proficiency in professional-level English communication, both written and verbal. What We would like to see: Please note, these aren't requirements, just things we think would be particularly valuable. If anything or everything here doesn't apply to you, please don't let that put you off applying. Experience in iGaming, fintech, e-commerce, or other regulated, high-volume consumer industries. Familiarity with AI orchestration and automation tooling such as n8n, Zapier, Make, LangChain, LlamaIndex, or similar. Exposure to MLOps / LLMOps concepts: evaluation pipelines, observability, prompt versioning, and cost monitoring. Working knowledge of data platforms (warehouses, event streams, BI tools) and how AI fits into them. Awareness of the EU AI Act, GDPR, and emerging AI governance and compliance frameworks. Track record of standing up an AI function or capability inside an organisation from zero. ## Description A hands-on, results-driven AI Transformation Lead to turn AI from buzzword into measurable business output. Someone equally comfortable mapping a messy workflow on a whiteboard, building a working proof-of-concept with the latest LLM tooling, and presenting ROI numbers to senior leadership. We're not looking for a pure strategist or a pure builder; we want someone who can do both: identify where AI creates the highest leverage across our business, ship real use cases end-to-end, and drive adoption so teams actually use what gets built. AI is moving fast and so are we. You'll have the autonomy, the budget, and the executive backing to make AI a genuine source of competitive advantage across Valsea. What You'll do: Own the AI roadmap end-to-end; make build, buy, and prioritisation calls based on ROI, technical feasibility, and business impact. Map current workflows across the business (operations, customer support, marketing, finance, product, engineering) to identify bottlenecks, repetitive tasks, and high-leverage opportunities for AI. Ship real AI use cases end-to-end; from problem framing and prototype through to production deployment, monitoring, and iteration. Drive adoption across teams through hands-on workshops, training, documentation, and embedded support; make sure tools actually get used, not just delivered. Measure impact rigorously: establish baselines, define KPIs (time saved, cost reduced, quality improved), and report results back to leadership and the teams themselves. Establish governance foundations; usage policies, data handling rules, model evaluation, security guardrails, and vendor management without slowing the business down. Continuously evaluate the AI landscape (models, agents, automation platforms, copilots) and translate it into pragmatic recommendations for Valsea. Partner with engineering, product, and functional leaders to embed AI inside the systems people already use, rather than bolting on yet another tool. Build business cases and ROI models that justify investment and clearly communicate what's working, what's not, and what to do next. Share knowledge across the company and help raise the AI literacy of the whole organisation. ## Related Videos - [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment) - [AI-Enabled Organisations: From Strategy to Practice](https://www.wearedevelopers.com/videos/100171-ai-enabled-organisations-from-strategy-to-practice) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)