AI Engineering Lead

About the role

PwC is looking for an ambitious, self-driven AI Engineering Lead to join its Analytics & AI team in Athens. As a principal technical specialist, you will design and deliver advanced AI solutions, drive engineering excellence, support business development and act as the go-to person for technical challenges.

Key responsibilities

• Engage with business stakeholders to understand needs and design AI-infused solutions
• Lead the architecture and delivery of end-to-end AI systems, including ML models, LLM-based components, APIs and scalable cloud deployments
• Drive technical decisions and act as the primary engineering advisor for the team
• Guide the AI engineering team in improving DevOps skills and following best practices throughout the SDLC
• Implement high-quality, scalable, maintainable production-grade code and integrate AI components with enterprise applications, data sources and third-party systems
• Ensure adherence to DevOps/MLOps best practices, including CI/CD, observability, testing and cloud-native workflows
• Stay ahead of trends in ML, GenAI, LLMs, MLOps, agentic workflows and cloud platforms, introducing new tools and patterns
• Advise internal teams and clients on AI adoption, feasibility, risks and implementation strategy
• Contribute to proposals, solution blueprints and technical presentations, and identify new opportunities for clients
• Mentor junior engineers, lead knowledge sharing and support capability building across the firm

Required profile

• Degree in Computer Science, Electrical & Computer Engineering or a related field; PhD is a plus
• 6+ years of professional experience in production software engineering, ML/AI engineering, AI systems or data-intensive application development
• Demonstrated technical leadership or ownership of complex systems
• Excellent communication skills and ability to explain complex concepts to non-technical stakeholders

Required skills

• Programming in Python (preferred).NET, Java or similar
• ML frameworks such as PyTorch, TensorFlow, Scikit-learn and GenAI tooling such as LangChain or LangGraph
• Solid understanding of databases, SQL and data engineering; Apache Spark is a plus
• Cloud platforms (Azure preferred; AWS or GCP also valuable)

What we offer

• Hybrid working model
• Local and global career opportunities
• Continuous learning and professional certifications
• Extra leave days and wellness initiatives