AI Team Lead

So, what are the main responsibilities of the AI Team Lead in Netcompany’s Enterprise Solutions? 

Joining us as the AI Team Lead, you will own the end-to-end delivery of GenAI, LLM and Machine Learning (ML) solutions for enterprise clients across the public and private sectors. You will act as a trusted advisor to senior client stakeholders, translating complex AI and ML capabilities into tangible business outcomes, while building and leading a high-performing team of AI and ML engineers. 

This is a client-facing leadership role. Your ability to navigate complex stakeholder environments, manage expectations, and drive alignment across business and technology teams will be as important as your technical expertise. You will be the primary AI and ML point of contact for key accounts, presenting to C-level executives, leading workshops, and shaping AI and ML adoption roadmaps. 

Focus (but not limited to) the design and implementation of advanced GenAI and ML pipelines leading a technical AI project team to deliver end-to-end creative applications that go beyond current tools and ensuring your team delivers scalable, reusable, extensible and flexible solutions. 

As the AI Team Lead, you will:

• Serve as the primary AI and ML advisor to key enterprise clients, understanding their business challenges and translating them into AI- and ML-powered solutions that deliver measurable value. 
• Lead and grow a team of AI/ML Engineers, and collaborate with MLOps and DevOps specialists, to design, develop, and optimize ML and GenAI architectures tailored to client-specific use cases and business requirements. 
• Manage stakeholder relationships across multiple concurrent projects, including steering committees, progress reporting, and escalation management. 
• Architect and oversee end-to-end ML and GenAI pipelines, delivering AI applications for key client transformation projects across the region and international business. 
• Mentor and develop team members, identifying skill gaps, and creating individual development plans. 
• Lead client workshops, discovery sessions, and technical presentations to shape AI strategy and drive adoption. 
• Execute the GenAI, LLM and ML strategy including people, technology, methodologies, platforms, and processes, while fostering a culture of technical excellence, innovation and continuous improvement.