AI Team Lead

Are you ready to shape the future technological landscape in Europe?
We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

Responsibilities

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

Requirements

What would make you a fit for the role:; Bachelor’s or Master’s degree in AI, Data Science, Machine Learning, Computer Science, Engineering, Operational Research or a related field. PhD in Operational Research preferred.; 6+ years of experience in AI/ML engineering, with a proven track record of delivering AI projects in enterprise/consulting environments from conception to production, with at least 2 years in a people management or practice leadership role.; Demonstrated experience managing client relationships, leading workshops, and presenting technical solutions to non-technical senior stakeholders (C-level, board members, steering committees).; Experience leading and developing teams, including hiring, performance management, and career development.; Strong expertise in Machine Learning and GenAI solutions including open source frameworks, RAG architectures, prompt engineering, LLM models (Claude, GPT, Gemini), and production deployment patterns.; Solid understanding of MLOps, AI model lifecycle management, Model Context Protocol (MCP), and experience with cloud platforms (AWS, Microsoft Azure, Google Cloud Platform).; Hands-on experience with open source ML/AI frameworks, agentic AI technologies, prompt engineering, and leading LLM models (Claude, GPT, Gemini, Nvidia AI stack). It would also be a plus if you match some of the following:; Experience in consulting, systems integration, or professional services environments.; Experience with AIOps practices, LLM monitoring frameworks, and AI governance.; Strong knowledge of ML and GenAI frameworks (e.g. LlamaIndex, LangGraph) and AI evaluation tools.; Pre-sales or business development experience in AI/data services.