HEAD OF AI ENGINEERING

MANE; Barcelona; Híbrido; EUR 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Permanent contract

Hybrid working model

Meal vouchers

Competitive salary

Flexible compensation package

Life and accident insurance

Generous vacation policy

Descripción de la vacante

MANE is seeking a Head of AI Engineering to serve as the central technical authority for AI capabilities, driving delivery, industrialization and scalability of AI solutions globally. You will lead the AI community, define standards and ensure scalable, secure operations across the enterprise.

Reporting to the Digital Transformation team, you will govern the enterprise AI platform, aligning with IT architecture and best practices while fostering talent growth and cross-functional collaboration.

Formación

• Bachelor's or Master's degree in computer science, AI or related field.
• 8+ years IT/Engineering experience including AI leadership.
• Deep knowledge of AI/ML lifecycle including MLOps/LLMOps.
• Proven leadership of AI/ML engineers in matrix organizations.
• Strong stakeholder management across IT, security and transformation.
• Experience with enterprise AI platforms (e.g., Azure Databricks).
• Fluent in English; French a plus.

Responsabilidades

• Lead and develop a Data Science and AI/ML team, ensuring capability and excellence.
• Coordinate AI resources across projects, ensuring quality and consistency.
• Oversee performance and evolution of AI solutions, monitoring trends.

Conocimientos

AI leadership

MLOps

Data science

Azure Databricks

Stakeholder management

Team building

Cloud architecture

Kubernetes

Educación

BSc/MSc CS/AI

Herramientas

Azure

Kubernetes

CI/CD

Descripción del empleo

About MANE:

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.

To learn more, visit our website:

MANE Flavor & Fragrance Manufacturer | MANE

Role Mission:

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

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.

You will be responsible for governing the enterprise AI platform, ensuring robust architecture, integration with the IT landscape, and alignment with engineering best practices.

Key Responsabilities:

• 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.
• 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.
• Define and drive the strategic roadmap and technical evolution of the enterprise AI platform (e.g. Azure Databricks).
• Ensure compliance with data privacy, security and ethical AI guidelines, in collaboration with relevant stakeholders.

Profile Required:

• Bachelor’s or master’s degree in computer science, Artificial Intelligence or a related quantitative field.
• Proven experience in IT or Engineering (8+ years), including leadership experience in AI, machine learning or data-driven platforms.
• Deep knowledge of the AI/ML lifecycle, including MLOps or LLMOps practices (deployment, monitoring, CI/CD and model versioning).
• Proven experience leading and developing a team of AI/ML engineers, with the ability to operate effectively in matrix organizations.
• Strong stakeholder management and collaboration skills, working across IT, Security, Architecture and Digital Transformation teams.
• Expertise in enterprise AI platforms (e.g. Azure Databricks) within complex and regulated environments.
• Experience designing scalable AI architectures and validating solutions for maintainability, security and performance.
• 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.
• Meal vouchers.
• Competitive salary, aligned with your experience and the value you bring to the team.
• Flexible compensation package, including childcare vouchers.
• 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.