Senior Operations AI Engineer Pricewaterhousecoopers Business Solutions Sa

Skills / Requirements

• Agentic AI
• AI Systems
• AutoGen
• AWS
• Azure
• Claude
• CrewAI
• Cursor
• Docker
• GCP
• Github Copilot
• Kubernetes
• LangChain
• LangGraph
• Machine Learning
• Python
• PyTorch
• scikit-learn
• Supply Chain Optimization
• TensorFlow
• Vibe Coding

Why Apply

This role is ideal for those who excel in AI-driven environments, using tools like PyTorch, TensorFlow, and LangChain to build autonomous systems. You'll leverage vibe coding tools like Cursor and GitHub Copilot to accelerate development.

What You'll Be Doing

Design and implement AI systems that autonomously optimize supply chain and logistics operations. Lead technical decision-making, mentor engineers, and guide clients in AI adoption strategies. Develop and deploy ML models and multi-agent systems.

Pay and Career Growth

The role offers a competitive package with opportunities for continuous learning and professional certifications. PwC Greece supports work-life balance through a hybrid working model and encourages career growth with local and global opportunities.

Benefits and Perks

• collaborative office spaces
• Continuous learning
• extra leave days
• global opportunities
• Hybrid working model
• Inclusive Team
• Professional certifications
• wellness initiatives

Is This Role Right for You?

Original Job Description

Job Description & Summary We are a team that turns complexity into opportunity. We look for those who anticipate shifts before they happen, challenge how things are done, and bring the experience to create real change. SHAPING TOMORROW Make a real impact, today, and tomorrow, through work that matters. Here, you will tackle today’s toughest challenges with a future-focused mindset; so our clients turn to us first when it matters most. The operational world is changing fast. Supply chains are becoming intelligent networks. Logistics decisions are being made in milliseconds by autonomous systems. Operations teams are no longer just executing — they are orchestrating AI-driven workflows that self-optimize, self-correct and self-report. At PwC, you won’t just observe this transformation — you will architect it. Here, you will tackle today’s toughest operational challenges with a future-focused mindset, building AI systems that don’t just support decisions but make them — so our clients turn to us first when it matters most. You will drive engineering excellence, introduce emerging technologies before they become mainstream, and shape the way an entire practice delivers AI at scale. This is your opportunity to build something that lasts — solutions deployed in production, teams that grow under your guidance, and clients whose operations are fundamentally transformed by the work you lead. Make a real impact In this dynamic environment, we are looking for an ambitious and self-driven Senior Operations AI Engineer to join our Procurement and Supply Chain team in Athens. This is a senior-level, hands-on technical leadership role for a passionate technologist with deep expertise in Machine Learning, Artificial Intelligence, and modern software engineering, who is motivated by solving complex, real-world operational problems and shaping technical direction. You will sit at the intersection of AI engineering and operational excellence — designing and delivering intelligent systems that autonomously monitor, reason, and optimize large-scale supply chain, logistics and operations environments, while acting as the go-to technical authority for your team and clients alike. Make a Real Impact Build and deploy ML models using PyTorch, TensorFlow and Scikit-learn for supply chain, logistics and operations optimization Develop agentic AI tools with LangChain, LangGraph, AutoGen or CrewAI that autonomously monitor, reason and recommend actions Design multi-agent systems with RAG pipelines, vector databases and tool-calling architectures for end-to-end operational workflows Deliver production-grade AI systems — APIs, ML pipelines and cloud deployments on Azure, AWS or GCP using Docker and Kubernetes Leverage vibe coding tools like Cursor, Claude and GitHub Copilot to accelerate prototyping and solution delivery Lead technical decision-making and act as the primary AI engineering advisor for the team Stay ahead of ML, GenAI, LLMs, MLOps and Agentic Workflow trends and introduce new tools and patterns that elevate delivery Guide clients on AI adoption, feasibility and implementation strategy across complex operational environments Support business development through proposals, solution blueprints and technical presentations Mentor engineers, lead knowledge-sharing initiatives and build AI capability across the firm Present findings and recommendations to senior client leadership What You Bring Matters Required Degree in Computer Science, Electrical & Computer Engineering, Data Science, Mathematics or a related field; PhD is a plus 5–8 years of professional experience in production-based software engineering, ML engineering, AI systems or data-intensive application development, with demonstrated technical leadership or ownership of complex systems Strong programming skills in Python (preferred); proficiency with ML frameworks (PyTorch, TensorFlow, scikit-learn) and modern GenAI tooling (LangChain, LangGraph or similar orchestration frameworks) Hands-on experience with agentic AI frameworks (AutoGen, CrewAI or similar) and practical knowledge of LLMs, prompt engineering, RAG architectures and AI orchestration Proficiency with AI-assisted development environments (Cursor, Claude, GitHub Copilot, Windsurf or similar) and vibe coding methodologies Solid understanding of databases, SQL and data engineering concepts; experience with large-scale datasets or Apache Spark is a plus Experience with cloud platforms (Azure preferred; AWS or GCP also valuable) Experience with data visualization tools (Power BI, Tableau) Excellent communication skills in Greek and English, with the ability to explain complex technical concepts to non-technical stakeholders High adaptability to evolving requirements and dynamic project environments Strong Advantage Knowledge of supply chain, logistics or operations domains Experience with multi-agent system design and autonomous workflow orchestration Familiarity with MLOps platforms (MLflow, Kubeflow, Azure ML) Experience designing and delivering end-to-end enterprise AI integrations (ERP, TMS, WMS) Strong curiosity and passion for continuous learning in the rapidly evolving AI landscape BRING YOUR BEST, EVERYDAY Your skills, integrity, and curiosity make the difference. At PwC Greece, we match that with an environment that brings out your best every day – supported by people who inspire, challenge, and grow with you. What we offer goes beyond a competitive package. It’s about creating the conditions for you to learn, belong, and deliver impact. That means: Your work life-balance supported by a hybrid working model Your creativity sparked in collaborative office spaces Your career growing through local and global opportunities Your development advanced with continuous learning and professional certifications Your well-being cared for with extra leave days and wellness initiatives Your perspective valued in an inclusive team where your impact matters Want to unlock new value by applying your unique perspective and talents? At PwC Greece, you lead by example. Our standards for quality and care are high – and together we surpass them. We redefine possibilities for our clients and communities. Challenge accepted? Our circle of connection matters – it’s at the heart of what we do. Click here (PwC life) All applicants will be acknowledged and treated in the strictest confidence. Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.