Principal AI Engineer

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 Principal AI Engineer in Netcompany’s Enterprise Solutions?; You will focus on the architecture and delivery of scalable, production-grade AI systems, ensuring solutions are reusable, extensible, and aligned with best practices, while pushing the boundaries of innovation beyond off-the-shelf tools.; As the Principal AI Engineer, you will:; Serve as the primary AI and ML advisor to enterprise clients, translating business challenges into scalable AI-driven solutions with measurable impact.; Lead, mentor, and grow a team of AI/ML engineers, fostering a culture of technical excellence, innovation, and continuous learning.; Drive the end-to-end architecture and delivery of ML and GenAI pipelines, from ideation and prototyping to production deployment.; Collaborate closely with MLOps, DevOps, and data engineering teams to ensure robust, scalable, and maintainable solutions.; Manage stakeholder relationships across multiple projects, including executive communication, reporting, and risk management.; Lead client workshops, discovery sessions, and technical presentations to define AI strategies and accelerate adoption.; Oversee delivery quality, ensuring solutions meet performance, scalability, security, and governance standards.; Contribute to practice development, including methodology, tooling, reusable assets, and pre-sales activities.

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 is a plus).; 8+ years of experience in AI/ML engineering, with a strong track record of delivering enterprise-grade AI solutions from concept to production.; Proven experience in a leadership or management role, including team leadership, mentoring, and performance management.; Strong experience in client-facing environments, including leading workshops and presenting to senior stakeholders (C-level, board members).; Deep expertise in Machine Learning and GenAI, including LLMs (e.g., GPT, Claude, Gemini), RAG architectures and prompt engineering, Agentic AI systems and orchestration frameworks.; Solid understanding of MLOps practices, model lifecycle management, and production deployment patterns.; Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.; Hands-on experience with modern AI/ML frameworks and tooling, including open-source ecosystems. It would also be a plus if you match some of the following:; Experience in consulting, systems integration, or professional services environments.; Familiarity with AI governance, responsible AI, and LLM monitoring frameworks.; Experience with advanced GenAI frameworks (e.g., LlamaIndex, LangGraph) and evaluation tools.; Exposure to AIOps practices and production AI observability.; Experience supporting pre-sales, proposals, or business development in AI/data domains.