Senior Operations AI Engineer

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   t eam 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.