Key Responsibilities

1. Strategy & Engineering Process Transformation

• Develop and implement an AI transformation strategy focused on real business impact.
• Identify processes (including HR, operations, knowledge management, reporting, internal communications) where AI delivers measurable benefits.
• Gradually transform operational processes into a hybrid human + AI model.
• Implement and improve engineering practices and development processes using AI.
• Enhance the efficiency of the entire software development lifecycle (SDLC).
• Establish unified development standards and an engineering culture.
• Manage changes within the engineering function.

2. AI Infrastructure & Automation

• Develop secure internal AI infrastructure and tools.
• Implement automation systems and productivity management platforms.
• Unify information flows and knowledge storage systems.
• Support the deployment of language models and AI solutions for internal processes.
• Ensure governance to prevent chaotic and unsafe use of AI.

3. Working with Engineering Teams & Related Functions

• Collaborate with heads of engineering and related departments (HR, operations, etc.).
• Increase the speed and efficiency of task execution.
• Standardize development processes and team interactions.
• Support the adoption of new processes without losing efficiency.
• Facilitate the integration of AI tools across various company functions.

4. Culture, Learning & Continuous Improvement

• Foster a culture of continuous improvement where AI is part of operational maturity, not a toy.
• Train employees to work with AI tools.
• Establish an approach where AI operations are continuously improved.
• Evaluate the effectiveness of AI initiatives through speed, cost, quality, and safety.

Requirements

Technical & Managerial Experience

• 7+ years in senior engineering roles or AI transformation.
• Experience managing engineering teams and collaborating with technical leads.
• Strong technical background (development, infrastructure, AI).
• Experience managing complex cross-functional projects.

AI & Automation

• Proven cases of AI and automation implementation.
• Experience with AI tools, LLMs, and internal platforms.
• Understanding of modern AI approaches in development.
• Experience optimizing engineering processes through automation.

Transformation & Change Management

• Successful implementation of organizational changes.
• Experience standardizing engineering processes.
• Ability to manage team resistance.
• Influencing skills without authoritarian management.

Project & Stakeholder Management

• Strong project management skills.
• Ability to build collaboration between engineering, business, and operational units.
• Experience working in fast-paced environments and growing companies.
• Ability to balance strategy with attention to detail.

Nice to Have

• Consulting or transformation background.
• Platform engineering / Dev Productivity / AI infrastructure.
• Building internal AI ecosystems.
• Advanced English proficiency.

Personal Attributes

• Proactive and highly self-directed.
• Focused on measurable business results, not just technology.
• Empathy and excellent communication skills.