Operations AI Engineers

PwC is hiring an Operations AI Engineers in Athens, Greece. Level rates it ; you can apply on PwC.

Level's read on this job

On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
The posting mentions Claude, Copilot and LangChain among its tools and skills.
Level classes it as a mid-level role.
PwC has 3,900+ other open roles on Level.
Posted in the last few days.

AI in this role

Design and develop AI and machine learning models, agentic decision-support tools, and automated solutions for complex operations.

claudecopilotlangchaincrewaiautogenpytorchtensorflowscikit-learncursorwindsurfpythonsql+3

prompt-engineeringai-ml-engineeringpredictive-analyticsagentic-aivibe-codingsupply-chain-optimization

Job Description & Summary

Description
We are a team that turns complexity into opportunity. We look for the curious and collaborative – ready to commit to growth, think boldly and make an impact from day one.

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.

PwC's Strategic Analytics & Operations practice is looking for Operations AI Engineers to join our growing team and help deliver cutting-edge AI-driven solutions to some of Greece's most complex operational environments.

Make a real impact

Design and develop AI and machine learning models applied to supply chain, logistics and operations optimization
Build and deploy predictive analytics and automated solutions for large-scale operational networks
Develop AI-based and agentic decision-support tools that autonomously monitor, reason and recommend actions across complex operations
Leverage vibe coding and AI-assisted development environments combining tools like Cursor and Claude to accelerate solution building and prototyping
Design multi-agent systems capable of handling end-to-end operational workflows with minimal human intervention
Translate complex operational challenges into scalable AI-powered solutions
Collaborate with cross-functional teams of consultants, data engineers and client stakeholders
Present analytical findings and recommendations to senior client leadership

What you bring matters

Degree in Computer Science, Data Science, Engineering or Mathematics
1-3 years of experience in AI/ML engineering or advanced analytics roles
Strong proficiency in Python, SQL and machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Familiarity with agentic AI frameworks (LangChain, AutoGen, CrewAI or similar)
Hands-on experience with vibe coding and AI-assisted development tools (Cursor, Claude, GitHub Copilot, Windsurf or similar)
Knowledge of LLMs, prompt engineering and AI orchestration is a strong advantage
Experience with data visualization tools (Power BI, Tableau)
Knowledge of supply chain, logistics or operations domains is a strong advantage
Excellent communication skills in Greek and English

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.

How we rate this

Operations AI Engineers at PwC rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Operations AI Engineers is an open job at PwC.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Athens.
The job was posted on October 23, 2026.
Seniority: mid.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringAI ML EngineeringPredictive AnalyticsAgentic AIVibe CodingSupply Chain OptimizationClaudeCopilot

Also common in AI engineer jobs at this level

AI agents AWS Generative AI Azure RAG Google Cloud

Pay

Typical AI engineer job: $185k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
Tell me about a project where ai ml engineering was part of your work. What did you do?
Tell me about a project where predictive analytics was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where vibe coding was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt engineering, AI ML Engineering, Predictive Analytics, Agentic AI, and Vibe Coding. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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