Additionalinformation

Additional Information

Being a part of the Netcompany team, you will be provided with:

• The opportunity to work in a modern environment & in a hybrid working model
• A seamless onboarding experience and a buddy to support you on your first steps
• A competitive compensation & benefits package
• Health and life insurance program
• Meal and commuting allowance
• Well-being activities (on premises)
• Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)
• A personalized development plan for targeted career growth

If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

By joining Netcompany in Athens, you will be part of a vivid team of 2,300+ tech professionals. When at the office, you'll have the flexibility to work from our three modern, sustainable, and state-of-the-art offices!

Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.

We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.

In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/

Companydescription

Company Description

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/

Jobdescription

Job Description

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

Joining us as a Principal AI Engineer, you will lead the design, delivery, and scaling of advanced GenAI, LLM, and Machine Learning (ML) solutions for enterprise clients across both public and private sectors. In this role, you will operate at the intersection of technical leadership, people management, and client engagement, driving impactful AI initiatives from concept to production.

You will act as a trusted advisor to senior client stakeholders, translating complex AI capabilities into clear business value, while leading and mentoring a high-performing team of AI/ML engineers. As a Principal (Manager-level role), you will be accountable not only for technical excellence but also for team growth, delivery quality, and client success.

This is a highly client-facing leadership role. Your ability to navigate complex stakeholder landscapes, align business and technology priorities, and communicate effectively with both technical teams and executive leadership will be key to success. You will represent the AI function in strategic discussions, lead workshops, and shape enterprise AI adoption roadmaps.

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.

Qualifications

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.