Verified from career page · Posted 3mo ago

PwC

AI Engineering Lead

PwC · Data and Analytics Engineering

Athens

Lead / Manager Still listed after 3 months

Machine learningAWSAzureCI/CDC# / .NETGCPJavaLangChainLLM / GenAIPythonPyTorchSparkSQLTensorFlow

Last seen just now

Posted
3mo ago

Posted on 17 June 2026

Workplace
Hybrid

Work model: Hybrid

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

Job Description & Summary

We’re a team that transforms vision into tech-enabled reality. We look for those who see technology not just as tools or platforms, but as the invisible infrastructure behind strategy, performance, and growth. We turn bold ideas into scalable, secure, and human-centered solutions.

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.

Make a real impact

In this dynamic environment, we are looking for an ambitious and self-driven AI Engineering Lead to join our  Analytics & AI team. This role is ideal for a passionate technologist with deep expertise in Machine Learning, Artificial Intelligence, and modern software engineering, who is motivated by solving complex, real‑world problems and shaping technical direction.

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.

Engage with business stakeholders to understand needs and design AI‑infused solutions addressing real business challenges

Lead the architecture and delivery of end‑to‑end AI systems, including ML models, LLM-based components, APIs, and scalable cloud deployments

Drive technical decision‑making and act as the primary engineering advisor for the team

Guide the AI engineering team as they improve their DevOps skills and ensure they consistently follow best practices throughout the SDLC process

Implement high‑quality, highly scalable, maintainable, production-grade code using modern engineering practices

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 market trends and emerging technologies in ML, GenAI, LLMs, MLOps, Agentic Workflows, software engineering, and cloud platforms

Introduce new tools, frameworks, and patterns that elevate our AI delivery capability

Guide internal teams and clients on AI adoption, feasibility, risks, and implementation strategy

Support business development efforts by contributing to proposals, solution blueprints, and technical presentations

Identify new opportunities where advanced analytics and AI can unlock value for our clients

Mentor junior engineers and contribute to the broader PwC engineering community

Lead knowledge-sharing initiatives and support capability building across the firm

What you bring matters

Degree in Computer Science, Electrical & Computer Engineering, or a related field; PhD is a plus

Six (6) + years of professional experience in production-based software engineering, ML engineering, AI systems, AI engineering, or data‑intensive application development

Demonstrated technical leadership or ownership of complex systems

Strong programming skills in Python (preferred), .NET, Java, or similar languages

Hands‑on experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit‑learn) and modern GenAI tooling (Langchain, Langraph or similar orchestration frameworks)

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)

Ability to design scalable, secure, and resilient systems following DevOps and cloud-native practices

Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders

High adaptability to evolving requirements and dynamic project environments

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 confidentiality.

About PwC

PwC is one of the Big Four, and its board here is the global Experienced Careers listing rather than a European one: most of what it carries is Cairo, Kuala Lumpur, Kolkata, Toronto and Manila, with Milan, Warsaw, Barcelona and London among the European entries. The technology work sits in the consulting and internal-technology arms rather than in a product org, so filter by role before judging the count.

Apply at PwC

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