Head of AI Engineering - Software Company

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, Mathematics, or a related field.
• 8+ years of experience in technology, software engineering, data, or AI-related roles.
• Previous experience leading AI Engineering, Machine Learning, Data Science, or advanced analytics teams.
• Deep understanding of the end-to-end AI and Machine Learning lifecycle.
• Hands-on experience with MLOps, LLMOps, model deployment, monitoring, CI/CD pipelines, and model versioning practices.
• Strong expertise in designing scalable, secure, and maintainable enterprise architectures.
• Experience working with cloud-based AI, analytics, or data platforms.
• Ability to collaborate effectively with multiple stakeholders and operate in matrix organizations.
• Strong understanding of AI governance, security, compliance, and risk management principles.
• Professional-level English communication skills.

• Permanent employment contract from day one.
• Opportunity to join a strategic and high-impact transformation initiative.
• Direct involvement in shaping and executing the organization's AI strategy.
• Flexible hybrid working model that promotes work-life balance.
• Flexible working hours.
• Competitive compensation package aligned with experience and responsibilities.
• Comprehensive flexible benefits program.
• Life and accident insurance.
• International, innovative, and technology-driven environment.
• Strong opportunities for professional growth and leadership development.
• Exposure to cutting-edge AI projects with global business impact.

Resumen

• Head of AI Engineering.
• Software Company

¿Dónde vas a trabajar?

Software Company

Descripción

• Leading, mentoring, and developing a multidisciplinary team of AI Engineers, Machine Learning Engineers, and Data Scientists.
• Coordinating technical resource allocation across AI projects and ensuring consistent delivery standards.
• Defining standards, methodologies, and best practices throughout the AI solution lifecycle.
• Designing scalable architectures and reusable frameworks for a variety of AI use cases.
• Ensuring seamless integration of AI solutions within the broader enterprise technology ecosystem, including data platforms and core business systems.
• Driving the evolution and strategic roadmap of the organization's enterprise AI platform.
• Overseeing the quality, reliability, security, and performance of AI solutions in production.
• Ensuring compliance with data privacy regulations, governance frameworks, and responsible AI principles.
• Acting as a trusted technical advisor for business stakeholders, technology teams, architects, and cybersecurity functions.

¿A quién buscamos (H/M/D)?

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, Mathematics, or a related field.
• 8+ years of experience in technology, software engineering, data, or AI-related roles.
• Previous experience leading AI Engineering, Machine Learning, Data Science, or advanced analytics teams.
• Deep understanding of the end-to-end AI and Machine Learning lifecycle.
• Hands-on experience with MLOps, LLMOps, model deployment, monitoring, CI/CD pipelines, and model versioning practices.
• Strong expertise in designing scalable, secure, and maintainable enterprise architectures.
• Experience working with cloud-based AI, analytics, or data platforms.
• Ability to collaborate effectively with multiple stakeholders and operate in matrix organizations.
• Strong understanding of AI governance, security, compliance, and risk management principles.
• Professional-level English communication skills.

¿Cuáles son tus beneficios?

• Permanent employment contract from day one.
• Opportunity to join a strategic and high-impact transformation initiative.
• Direct involvement in shaping and executing the organization's AI strategy.
• Flexible hybrid working model that promotes work-life balance.
• Flexible working hours.
• Competitive compensation package aligned with experience and responsibilities.
• Comprehensive flexible benefits program.
• Life and accident insurance.
• International, innovative, and technology-driven environment.
• Strong opportunities for professional growth and leadership development.
• Exposure to cutting-edge AI projects with global business impact.