About Us Allfunds is a leading general dealing and distribution platform in the wealth management industry. Distinguished by its buy-free model, the breadth of its distribution network, strong global and local execution capabilities, and value-added services, Allfunds has a longstanding track record of delivering growth, with Au A at a historic high of €1.76 trillion (as of 31 December 2025). Channeling savings into investments, Allfunds offers a comprehensive suite of products including mutual funds, ETFs, and alternatives on a scalable technology platform.

Allfunds is a truly global business with more than 1,000 employees and a culture of innovation and entrepreneurship. The role is responsible for transforming business challenges into scalable AI architectures, selecting the appropriate technologies, models, frameworks, and cloud services to deliver measurable business value. Working closely with business stakeholders, product owners, data scientists, software engineers, and enterprise architects, the AI Architect designs end-to-end solutions based on Large Language Models (LLMs), Machine Learning, Deep Learning, Retrieval-Augmented Generation (RAG), AI Agents, and Intelligent Automation capabilities.

The AI Architect defines architectural standards and best practices for the development of enterprise AI applications that integrate with APIs, data platforms, cloud-native services, and existing business systems. The AI Architect is responsible for evaluating AI models and technologies, establishing governance frameworks, ensuring AI security and compliance, and defining monitoring, observability, and operational controls for production environments.



The role also provides technical leadership throughout the entire AI solution lifecycle, from ideation and architecture through implementation and deployment.

Define enterprise AI architecture principles, standards, and best practices. Define end-to-end solution architectures including model orchestration, agent workflows, retrieval mechanisms, prompt engineering, and tool integration. Design scalable and secure AI platforms on public cloud providers (Azure, AWS, or GCP).

Establish governance, security, compliance, and Responsible AI controls. Evaluate foundation models, embeddings, vector databases, AI frameworks, and cloud AI services. Define observability, monitoring, model evaluation, and operational processes for AI workloads.

Ensure AI solutions are aligned with enterprise architecture, cybersecurity, and data governance requirements.

Qualifications & Skills: Strong knowledge of Large Language Models (LLMs) and Generative AI architectures.

Experience designing solutions using Open AI, Azure Open AI, Anthropic Claude, Gemini, or similar foundation models. Deep understanding of Machine Learning and Deep Learning concepts and architectures.

Strong

Python development skills.

Experience building and consuming REST APIs and event-driven architectures. Knowledge of vector databases, embeddings, RAG architectures, and semantic search.

Experience with cloud platforms such as Azure, AWS, or GCP . Understanding of MLOps, LLMOps, CI/CD, and AI deployment best practices. If you have built your career within an Asset Management or Fund Management environment and are passionate about investment risk oversight, portfolio monitoring, and providing strategic risk insights to management, we look forward to meeting you.

📌 AZURE ARCHITECT - INGLES- REMOTO (Madrid)
🏢 ALLFUNDS
📍 Madrid