Ai Engineering & Platform Lead

Blu; Madrid; Híbrido; EUR 80.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Meal vouchers

Flexible compensation options

Life and accident insurance

Early Friday wrap-ups

Descripción de la vacante

Blu is seeking an AI Engineering & Platform Lead in Madrid, Spain, to own the architectural vision and governance of global AI capabilities within a hybrid work model. You will drive enterprise-scale AI platforms, set MLOps standards, and lead a diverse team of data scientists and AI engineers across regions.

Must have 8+ years in IT/engineering with leadership in AI/ML, strong security and data platform knowledge, and English proficiency; French is a plus.

Formación

• 8+ years in IT or engineering with leadership in AI/ML.
• Expert in enterprise AI environments (Azure ML, Azure Databricks) and production MLOps/LLMOps.
• Strong architecture, security, and data platform knowledge.
• Proven experience leading technical teams in multinational settings.
• Professional English; French is a plus.

Responsabilidades

• Define the strategic technical roadmap for the enterprise AI platform (Azure ML, Databricks) and design scalable frameworks for LLMs, CV, and Predictive Analytics.
• Lead, mentor, and inspire a cross‑functional team of Data Scientists and AI/ML Engineers.
• Establish enterprise‑wide MLOps/LLMOps standards with strict data privacy, security and governance.
• Coordinate technical resource allocation for global projects and translate business challenges into technical strategies.

Conocimientos

AI leadership

Data science leadership

Strategic planning

Agile leadership

Herramientas

Azure ML

Azure Databricks

MLOps

Descripción del empleo

Location & Work model: Barcelona | Hybrid Salary & Benefits: 80,000 - 90,000 gross per year + 10% performance bonus, meal vouchers, flexible perks, and early Friday wrap-ups!What's the project?Our client is a world-renowned, family-owned global leader with over 150 years of history in the fragrance, flavor, and ingredient industry. With an active footprint spanning over 41 countries, they sit at the intersection of science, sensory art, and deep tech. Right now, they are heavily investing in bringing cutting‑edge technology into traditional formulation, chemistry, and supply processes. The goal? To build state‑of‑the‑art AI solutions, streamline global operations, and unlock high‑impact data‑driven products across their international ecosystem. You'll be jumping right into the heart of their digital transformation journey!And your role in this?As the AI Engineering & Platform Lead, you are the central technical authority driving the industrialization, architecture, and governance of global AI capabilities. You’ll sit right at the core of the digital and data team, applying deep engineering rigor and strategic vision to build and scale enterprise‑grade systems that solve real‑world R&D challenges. Your main mission is to make sure complex AI concepts turn into viable, scalable, and operationally sound platforms that power high‑impact products. You will own the overall technical architecture, enterprise infrastructure integration, and engineering governance workflows, ensuring everything runs smoothly, securely, and predictably. More specifically, you will:Define the strategic technical roadmap for the enterprise AI platform (Azure ML, Databricks) and design scalable frameworks for LLMs, Computer Vision, and Predictive Analytics. Ensure robust integration of AI solutions within the global IT landscape, security frameworks, and data infrastructure. Lead, mentor, and inspire a cross‑functional team of Data Scientists and AI/ML Engineers, fostering technical excellence and continuous growth. Establish enterprise‑wide MLOps/LLMOps standards, ensuring strict compliance with data privacy, security, and ethical AI guidelines. Coordinate technical resource allocation for global projects and partner with stakeholders to translate complex business challenges into clear technical strategies. Ok, what should you bring?We’re looking for a seasoned technical visionary and leadership mind who loves the challenge of productionizing enterprise AI, values robust architecture, and can align high‑velocity engineering teams with strategic business goals. The Must‑Haves: Experience: 8+ years of experience in IT or Engineering, with proven leadership in AI, machine learning, or data‑driven platforms within complex environments. Technical & Platform Excellence: Strong expertise in enterprise AI environments (Azure ML, Azure Databricks) and advanced production MLOps/LLMOps practices. Architecture & Security: Solid understanding of infrastructure, data platforms, enterprise networking, and complex security integration. Delivery Muscle & Leadership: Proven experience managing technical teams, guiding agile practices, and successfully navigating matrixed, multinational organizations. Languages: Full professional proficiency in English. The Nice‑to‑Haves: French fluency is strongly preferred and will make collaborating with key regional teams a breeze!Prior exposure to chemistry, formulation, or the fragrance & flavor industry. Is that it?Not quite! Beyond the work itself, here is a glimpse into the vibe, package, and reality of the role: The Target & Challenge: Building AI tools for a heritage industry isn't always easy—you'll need to navigate cross‑functional dynamics, manage high‑level dependencies early, and bring diverse international teams along on the digital journey. The Salary & Package: A fixed annual salary ranging between 80,000 and 90,000 + a 10% performance bonus, accompanied by a permanent contract from day one, meal vouchers, flexible compensation options (like childcare vouchers), and comprehensive life and accident insurance. The Vibes: Stable, inclusive, and grounded in long‑term human values. The culture favours balance: expect short‑er working days on Fridays, generous vacation time, and a supportive team atmosphere that respects your time off as much as your hard work. Discipline(s): Information Technologies Job type: Manager

Ai engineering & platform lead Madrid, Spain