AI ENGINEERING & PLATFORM LEAD

MANE; Barcelona; Híbrido; EUR 75.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Permanent contract

Flexible working hours

Hybrid working model

Competitive salary

Life and accident insurance

Generous vacation policy

Descripción de la vacante

MANE, a leader in the fragrance and flavor industry, seeks an AI Engineering & Platform Lead in Barcelona. In this role, you will oversee the development and implementation of AI solutions across the organization, ensuring their scalability and efficiency.

With a permanent contract, flexible hours, and a hybrid work model, MANE values ethical commitment and supports a balanced work environment. Join us to lead a talented team and drive innovative AI initiatives!

Formación

• 8+ years of experience in IT or Engineering, including leadership in AI.
• Experience designing scalable AI architectures and validating solutions.
• Deep knowledge of AI/ML lifecycle and MLOps or LLMOps practices.

Responsabilidades

• Drive the technical execution of AI initiatives across the organization.
• Establish and enforce governance and best practices in AI.
• Lead and develop a team of Data Scientists and AI/ML Engineers.

Conocimientos

Leadership in AI

AI architecture understanding

Stakeholder management

Fluency in English

Experience in Azure Machine Learning

Educación

Bachelor’s or Master's in Computer Science or related field

Herramientas

Azure Machine Learning

Azure Databricks

Descripción del empleo

MANE is a French family-owned company with over 150 years of history and one of the global leaders in the fragrance, flavor and ingredient industry for the food, beverage and perfumery sectors. We operate in 41 countries, with 54 R&D centers and multiple production sites worldwide.

We are driven by a strong commitment to innovation, sustainability and the development of creative and technological solutions that deliver real value to our customers.

MANE Flavor & Fragrance Manufacturer | MANE

Role Mission:

As AI Engineering & Platform Lead, you will act as the central technical authority for the company’s AI capabilities, leading the industrialization and scalability of AI solutions across the organization.

You will be responsible for building and governing the enterprise AI platform, ensuring robust architecture, integration with the IT landscape, and alignment with engineering best practices. Working closely with the Digital Transformation team, you will drive the technical execution of AI initiatives, ensuring solutions are scalable, secure and operationally efficient.

You will also play a key role in leading and developing the AI technical community, fostering talent growth, defining standards and enabling collaboration across cross-functional teams at both local and global level.

Key Responsabilities:

• Define and drive the strategic roadmap and technical evolution of the enterprise AI platform (e.g. Azure Machine Learning, Databricks).
• Ensure integration of AI solutions within the broader IT ecosystem, including data platforms, security and network architecture.
• Design scalable AI architectures and reusable frameworks across key use cases (LLMs, Computer Vision, Predictive Analytics).
• Establish and enforce technical standards, governance and best practices across the AI lifecycle.
• Ensure compliance with data privacy, security and ethical AI guidelines, in collaboration with relevant stakeholders.
• Lead and develop a team of Data Scientists and AI/ML Engineers, supporting capability building and technical excellence.
• Coordinate the allocation of AI technical resources across projects, ensuring quality and consistency in delivery.
• Oversee performance, reliability and continuous improvement of AI solutions, while monitoring emerging technologies and industry trends

Profile Required:

• Bachelor’s or master’s degree in computer science, Artificial Intelligence or a related quantitative field (PhD is a plus).
• Proven experience in IT or Engineering (8+ years), including leadership experience in AI, machine learning or data-driven platforms.
• Strong expertise in enterprise AI platforms (e.g. Azure Machine Learning, Azure Databricks) within complex and regulated environments.
• Solid understanding of AI architecture, including infrastructure, data platforms, networking and security integration.
• Experience designing scalable AI architectures and validating solutions for maintainability, security and performance.
• Deep knowledge of the AI/ML lifecycle, including MLOps or LLMOps practices (deployment, monitoring, CI/CD and model versioning).
• Proven experience leading and developing technical teams, with the ability to operate effectively in matrix organizations.
• Strong stakeholder management and collaboration skills, working across IT, Security, Architecture and Digital Transformation teams.
• Professional fluency in English; French is a strong plus.

What we offer

At MANE, we are committed to building long-term relationships and creating a stable, flexible and people-focused work environment. We offer:

• Permanent contract, ensuring stability from day one.
• Flexible working hours, Monday to Friday, with shorter working days on Fridays to support work-life balance.
• Hybrid working model, combining on-site collaboration with remote work flexibility.
• Competitive salary, aligned with your experience and the value you bring to the team.
• Life and accident insurance, because your well-being matters to us.
• Generous vacation policy, with flexibility to take time off throughout the year.

Our Values and Ethical Commitment

At MANE, we act with a strong ethical and responsible approach, guided by the highest standards of integrity in everything we do.

We are firmly committed to the well-being of people, promoting inclusive work environments, equal opportunities and collaboration across generations. We actively work to drive sustainability and contribute to the development of the communities in which we operate.

This commitment is an essential part of our culture and guides our decisions as a company at a global level.