AI Architect

About us

Looking for your next challenge? Allfunds (AMS: ALLFG) is a fast-paced, dynamic, Wealthtech leader with 17* offices around the globe and our employees are the best at what they do.
We have a relentless passion for quality and a drive to keep ahead of the competition. We also have a strong business foundation built by experts over 20 + years ago, with the flexibility and agility of start-up.
As a Wealthtech, Allfunds blends our wealth management expertise with the innovation and creativity of a fintech. We have over €1.7 trillion assets under administration and are the leading B2B platforms for the fund industry. We built and continue to evolve a digital ecosystem that covers the entire fund distribution value chain and investment cycle, with solutions including dealing and execution, data analytics, regulatory solutions, ESG tools, blockchain, and alternative investments.
Founded in Madrid in 2000, Allfunds offers international opportunities, a commitment to work-life balance, competitive benefits packages including flexible holidays, and continued training and development. This is under-pinned by our values to have a positive social impact on the markets in which operate.
If you are open to new prospects, an adaptable professional, and enjoy collaborating with diverse and inclusive people, then Allfunds is the place for you.

*Brazil, Chile, Colombia, France, Hong Kong, Italy, Luxembourg, Miami, Poland, Shanghái, Singapore, Spain (Madrid/Valencia), Sweden, Switzerland, United Arab Emirates and United Kingdom.

Our purpose

Our purpose is to transform the WealthTech industry. Allfunds. is achieving this through a deep commitment to quality and outstanding human capital, by providing the best service for our clients, and by creating value for all our stakeholders. For our employees.

We believe that our people’s talent is what creates our world-class service. Allfunds' employees are high performers and team players who live our core values. We encourage them to grow professionally and personally, and to stretch themselves to achieve their goals.

What you will find when working at Allfunds

We believe in:

• All for Excellence All of our experience and expertise, along with the passion we put in everything we do. So, our clients, employees, and partners can count on us for the best services.
• All for Accountability We always looking to make a difference through our transparent and responsible attitude towards people and society.
• All for Empowerment We work to continuously enhance our tools and services to make them accessible to our clients.
• All for Inspiration People are our driving force and helping them to reach their goals is our biggest motivator. That is why we aim to adapt to their needs and wants, accompany them on their journey, and inspire them to reach their dreams.

If you believe you match these values, we look forward to meeting you.

Diversity, Equity and Inclusion

For Allfunds, Human Capital is at the heart of the company’s strategy and results, as well as part of our ESG strategy. DEI, represents the acronym of Diversity, Equity and Inclusion and how we understand it within our group. For Diversity Allfunds includes ways in which people differ, encompassing the different characteristics that make one individual different from another. For Equity Allfunds encompasses the policies and practices used to ensure fair treatment, opportunity, and advancement for all employees. For Inclusion Allfunds creates a working environment in which any individual can be and feel welcomed, respected, supported, and valued.

Through DEI, Allfunds fosters a culture that recognizes and minimizes bias.

Sounds interesting?

Please take a closer look...

The AI Architect leads the definition, design, and implementation of advanced AI solutions across the organization. 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 role requires hands-on expertise in modern AI frameworks such as LangChain and LangGraph, including the design of multi-agent systems, orchestration workflows, tool integration, memory management, and human-in-the-loop patterns. 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.

Key Responsibilities

• Define enterprise AI architecture principles, standards, and best practices.
• Design AI solutions leveraging LLMs, Deep Learning, Machine Learning, RAG, and Agentic AI patterns.
• Architect AI agents and multi-agent systems using frameworks such as LangChain and LangGraph.
• 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).
• Define API-based integration patterns between AI services and enterprise applications.
• 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.
• Provide architectural leadership and technical guidance to development and engineering teams.
• Support business stakeholders in identifying and prioritizing AI use cases and innovation opportunities.
• Ensure AI solutions are aligned with enterprise architecture, cybersecurity, and data governance requirements.

Required Skills & Experience

• Strong knowledge of Large Language Models (LLMs) and Generative AI architectures.
• Experience designing solutions using OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar foundation models.
• Deep understanding of Machine Learning and Deep Learning concepts and architectures.
• Hands-on experience with LangChain and LangGraph.
• Experience designing and implementing AI Agents and multi-agent systems.
• 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.
• Knowledge of AI security, governance, observability, and Responsible AI principles.
• Strong communication and stakeholder management skills.
• Delivery of solutions (Go-live).

Preferred Skills

• Experience with AI Agent platforms such as Microsoft Copilot Studio, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
• Experience with Kubernetes, Docker, and cloud-native architectures.
• Knowledge of data engineering, data lakes, and enterprise integration patterns.
• Experience delivering AI solutions in regulated enterprise environments.