AI Engineering Lead
PwC is hiring an AI Engineering Lead in Athens, Greece. Level rates it ; you can apply on PwC.
Level's read on this job
- Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
- The posting mentions LangChain, PyTorch and TensorFlow among its tools and skills.
- Level classes it as a lead role.
- PwC has 3,700+ other open roles on Level.
AI in this role
Lead the architecture, development, and deployment of advanced enterprise AI solutions, LLM components, and scalable machine learning systems.
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.
How we rate this
AI Engineering Lead 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
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 decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Tell me about a project where system architecture was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, ML Ops, Machine learning, Artificial Intelligence, and System Architecture. 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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