Euronext is the leading pan-European exchange with a unique federal model, in a mission to accelerate innovation and sustainable development across Europe. From raising equity to traded products, issuer services to market data, Euronext addresses the needs of marketplaces, investors and companies, playing a crucial role in connecting European businesses to capital markets, fostering economic growth, and providing listing opportunities for companies of varying sizes. Within the COO scope, the goal of the AI Team is to identify, prioritize and deliver innovative AI solutions, supporting business lines.
As AI Architect, you will guide the AI team in designing, building and delivering AI-powered applications. Such applications are designed to serve several teams and drive business value across different business areas. You will be part of the recently established global AI Team of Euronext, with the possibility to shape it from the beginning with foundational knowledge and best practices. You will work closely with our AI Tech Lab Manager, as well as with experienced software developers, DevOps, Machine Learning Operations (MLOps) and data professionals.
Key Responsibilities: Advise and guide the team in designing modern cloud-based architectures for AI solutions Oversee and support the technical implementation of multiple AI use cases Establish AI best practices, including the adoption of the most suitable frameworks, tools and platforms for building successful AI applications. Collaborate with software developers, MLOps and data scientists to ensure seamless integration of data pipelines, machine learning algorithms and software modules into successful AI-based applications.
Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Strong and foundational knowledge on Machine Learning, Deep Learning and Generative AI. At least 5 years of experience in full-stack machine learning in complex and long-term projects, from conception to deployment, with focus on modular and scalable architectures. Experience in developing and deploying LLM-based solution is highly valued. Proficiency in programming in Python and using frameworks like TensorFlow, PyTorch and LangChain. Hands-on experience with cloud services, such as Azure or AWS. Experience with services such as API Gateway, Lambda, ECS, DynamoDB, OpenAI, BedRock and related ones is highly valued. Experience in building and integrating RESTful APIs and microservices. Experience in establishing and promoting best practices in software engineering, such as code reviews, automated testing, version control (Git), and Agile methodologies. Excellent problem-solving, communication and mentoring skills. Fluency in English, both written and spoken A reliable team player, with a collaborative attitude. Euronext Values Unity We respect and value the people we work with We are unified through a common purpose We embrace diversity and strive for inclusion Integrity We value transparency, communicate honestly and share information openly We act with integrity in everything we do We don't hide our mistakes, and we learn from them Agility We act with a sense of urgency and decisiveness We are adaptable, responsive and embrace change We take smart risks Energy We are positively driven to make a difference and challenge the status quo We focus on and encourage personal leadership We motivate each other with our ambition Accountability We deliver maximum value to our customers and stakeholders We take ownership and are accountable for the outcome We reward and celebrate performance We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect. Additional Information This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.