Senior AI Engineer - Process Excellence & Intelligence

About the role

PwC is looking for an experienced Senior Operations AI Engineer (Senior Associate level) to join its Process Excellence & Intelligence team in Athens, within the Business Operations team. The team helps clients understand, reimagine and continuously improve their operations through business-led, data-driven approaches supported by technology. The role sits at the intersection of AI engineering and operational excellence, turning process improvement opportunities into intelligent, autonomous systems that monitor, reason and optimize operations.

Key responsibilities

• Own technical project deliverables and presentations for client engagements, and guide clients on AI adoption, feasibility and implementation
• Contribute to proposals and present AI-driven recommendations to senior client leadership
• Translate process analysis findings into AI-powered solutions and build AI-enabled platforms supporting automation
• Build and deploy ML models with PyTorch, TensorFlow and scikit-learn, and develop agentic AI tools with LangChain, LangGraph, AutoGen or CrewAI
• Design multi-agent systems with RAG pipelines, vector databases and tool-calling architectures
• Deliver production-grade AI systems (APIs, ML pipelines, cloud deployments) on Azure, AWS or GCP using Docker and Kubernetes
• Support clients through implementation, mentor team members and lead technical decisions as the team's primary AI engineering advisor

Required profile

• Top-tier university degree in Computer Science, Engineering, Data Science, Mathematics, Business Administration or a related field
• 2-5 years of experience in ML engineering, AI systems, agentic AI or operational transformation, with demonstrated technical leadership
• Fluency in Greek and English
• Military service fulfilled where applicable; MBA or postgraduate degree is a strong advantage

Required skills

• LLMs, prompt engineering, RAG and agentic AI frameworks (AutoGen, CrewAI)
• Python (preferred), PyTorch, TensorFlow, scikit-learn, and AI-assisted tools such as Cursor, Claude and GitHub Copilot
• Databases, SQL, data engineering and cloud platforms (Azure preferred, AWS/GCP also valuable)
• Data visualization (Power BI, Tableau, advanced Excel) and process mining
• Advantage: ERP/SAP/Oracle/Dynamics integrations, MLOps platforms (MLflow, Kubeflow, Azure ML), n8n, Power Platform, UiPath

What we offer

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