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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure Investment - Chief Technology Officer (AI & Data Platform) - **Company:** Astrafy SA - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cyber Security, Data Architecture, Data Infrastructure, Software Engineering - **Published:** September 3, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + 12 to 20 years in technology, combining software engineering or data platform leadership with applied artificial intelligence. + Experience in a regulated financial environment. + A demonstrable record of building and rolling out data and AI platforms into production, with live use cases and measurable impact. Proof-of-concept work alone is not sufficient for this role. + Working command of AI governance, traceability and the applicable regulatory framework (AI Act, DORA, GDPR) as it applies to financial services. + The ability to translate an asset manager's business needs into technical architecture, and to hold your own in a conversation with investment professionals about what the business actually requires. + Professional fluency in Spanish and English. + Residence in Madrid. This is an in-person role and physical presence is a condition of the position. Valued + Background in fintech, asset management or market infrastructure; familiarity with closed-ended fund mechanics. + Quantitative depth: valuation engines, discounted cash flow modelling, or comparable analytical systems. + Experience establishing a technology function from scratch. + Familiarity with EU data residency models. Disposition We are looking for a builder rather than an operator. Someone who wants to make the decisions, not administer someone else's. That means comfort with ambiguity, appetite for defining things that have no precedent inside the firm, and the autonomy to move without waiting to be told, combined with a genuine willingness to work inside a committee structure and be challenged on your reasoning. Demonstrable, hands-on adoption of frontier AI tooling in your own work is a differentiating criterion. We will ask you how you use it, and we will expect concrete examples with real outcomes. Culture + Analytical rigour ahead of speed. + An industrial mindset: deep operational understanding of every asset we own. + Transparency and alignment with our investors. ## Description We are an investment manager under authorisation in Spain, headquartered in Madrid, investing in operational infrastructure across Western Europe and the United States. What distinguishes us is how that work gets done. We apply artificial intelligence systematically to investment analysis, structured around three integrated stages: data, prediction, decision. The governing principle is simple and non-negotiable. AI informs; the team decides. Every output is traceable, explainable and subject to human judgement. This is not a firm that has bolted AI onto an existing process. The operating model is being designed around it from the ground up., The technology and data architecture does not yet exist. You will design it, build it, and operate it. As Chief Technology Officer you own the platform that supports the manager's investment and operational work end to end, from origination and analysis through valuation, portfolio monitoring, investor reporting and risk. You will define the architecture, choose the stack, select and manage implementation partners, and take the system from design into production on a phased roadmap. You will be a founding member of the technology function, reporting to the CEO and working alongside the investment and finance leadership. This is a build mandate. The person who takes it will have the unusual privilege, and the exposure, of making the foundational technical decisions rather than inheriting them. The role sits at the centre of the firm's differentiation. It is the hire that makes the strategy possible. What you will own Architecture and platform. The end-to-end technology and data architecture: model and tooling selection, integration of management systems and market data sources, infrastructure, and the production environment the whole firm runs on. AI in production. Real systems doing real work under real deadlines, supporting live investment decisions. Not pilots, not demonstrations. AI governance and human-in-the-loop design. The control framework that makes every system output traceable, explainable and reviewable. Designing where human judgement enters, how it is evidenced, and how the firm can defend any decision the platform contributed to. Regulatory conformity. Compliance of the technology estate with the EU AI Act, DORA and GDPR. EU data residency. Cybersecurity and operational resilience. Delivery. A phased implementation roadmap, vendor selection and oversight, and accountability for what actually ships. ## Related Videos - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Thinking Differently - How to Make Money from Cyber Attacks & Cheats](https://www.wearedevelopers.com/videos/745-thinking-differently-how-to-make-money-from-cyber-attacks-cheats) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data: The Deciding Factor in AI Success](https://www.wearedevelopers.com/videos/100310-data-the-deciding-factor-in-ai-success) - [Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client](https://www.wearedevelopers.com/videos/100311-swapping-a-data-warehouse-at-runtime-zero-downtime-migration-without-changing-a-single-client) ## Related Articles - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [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) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)