Principal Architect - Gen AI

We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development.

As a vital force driving the strategic and technical evolution of the Global Streaming Platform
, this role empowers the organisation to harness ground-breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting-edge technologies into secure, scalable, and high-performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world-class leader.

This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position.

• Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third-party vendor selection and integration.

• Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security

• Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third-party commodities, for porting self-serving AI in-house developed solutions

• Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles.

• Partner with product and engineering teams to translate business requirements into scalable AI solutions.

• Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies.

• Ensure optimized integration of AI solutions with existing systems and data sources.

• Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high-level advice on opportunities and possible solutions

• Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices

• Provide technical guidance and mentorship to the engineering teams.

• Foster strong relationships with stakeholders, including business leaders, product managers

• Collaborate with senior leadership to align AI initiatives with organizational goals.

• Communicate complex technical concepts to non-technical stakeholders effectively.

• Promote a collaborative and innovative AI culture within the whole organisation

• Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions

• Partner with the Fin Ops team to ensure implementation of adequate monitoring and budgetary guardrails

• Work closely with the procurement and legal team in the negotiations with vendors.

• Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI.

• Ensure compliance with industry standards and international regulations.

• Advanced degree in Computer Science, AI, or a related field.

• Contributions to open-source AI projects or published research in AI/ML.

• Extensive experience in software or systems architecture, with strong focus in AI/ML domains.

• Proven experience designing and deploying AI solutions using frameworks such as Lang Chain, RAG, and vector databases or the MCP protocol.

• Deep understanding of LLMs, prompt engineering, model evaluation, and fine-tuning strategies.

• Strong proficiency in ML frameworks (e.g., Tensor Flow, PyTorch) and cloud platforms (AWS,…