Head of AI Engineering

Responsibilities

• Define the 2- to 3-year AI vision and build the corresponding roadmap in alignment with business priorities
• Structure and manage a portfolio of AI initiatives covering all Engineering activities
• Accelerate the integration of AI into our offerings, solutions, and delivery activities with measurable value objectives
• Establish performance indicators to measure AI impact (ROI, productivity, revenue, adoption)
• Define and lead AI governance, addressing compliance, security, ethics, and risk management
• Drive the scaling of AI solutions, ensuring the transition from POCs to industrial, reproducible deployments

Requirements

• Degree in a relevant field (Engineering, Master’s, or equivalent)
• Significant experience in transformation, strategy, governance, or leading large-scale programs
• Strong expertise in Artificial Intelligence, Machine Learning, GenAI, and data ecosystems
• Proven ability to turn technological innovations into tangible business outcomes
• Successful experience industrializing AI solutions and managing complex transformations
• Fluent professional English

ATS Optimization Keywords

Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility.

Hard Skills

• Artificial Intelligence
• Machine Learning
• GenAI
• Data Ecosystems
• Performance Indicators
• ROI Measurement
• Productivity Analysis
• Revenue Impact Assessment
• Complex Transformation Management
• Industrialization of AI Solutions

Certifications & Qualifications

• Degree in Engineering
• Master’s Degree or Equivalent