AI Engineering Lead
- AI
- Machine Learning
- Devops
- MLOps
- CI/CD
- Python
- .NET
- Java
- PyTorch
- TensorFlow
- scikit-learn
- LangChain
- SQL
- Apache Spark
- Azure
- AWS
- GCP
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. Â
SHAPING TOMORROWÂ
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. Â
Make a real impactÂ
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.Â
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.Â
- Engage with business stakeholders to understand needs and design AI‑infused solutions addressing real business challengesÂ
- Lead the architecture and delivery of end‑to‑end AI systems, including ML models, LLM-based components, APIs, and scalable cloud deploymentsÂ
- Drive technical decision‑making and act as the primary engineering advisor for the teamÂ
- Guide the AI engineering team as they improve their DevOps skills and ensure they consistently follow best practices throughout the SDLC processÂ
- Implement high‑quality, highly scalable, maintainable, production-grade code using modern engineering practicesÂ
- Integrate AI components with enterprise applications, data sources, and third‑party systemsÂ
- Ensure adherence to DevOps/MLOps best practices, including CI/CD, observability, testing, and cloud‑native workflowsÂ
- Stay ahead of market trends and emerging technologies in ML, GenAI, LLMs, MLOps, Agentic Workflows, software engineering, and cloud platformsÂ
- Introduce new tools, frameworks, and patterns that elevate our AI delivery capabilityÂ
- Guide internal teams and clients on AI adoption, feasibility, risks, and implementation strategyÂ
- Support business development efforts by contributing to proposals, solution blueprints, and technical presentationsÂ
- Identify new opportunities where advanced analytics and AI can unlock value for our clientsÂ
- Mentor junior engineers and contribute to the broader PwC engineering communityÂ
- Lead knowledge-sharing initiatives and support capability building across the firmÂ
What you bring mattersÂ
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- Degree in Computer Science, Electrical & Computer Engineering, or a related field; PhD is a plusÂ
- 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 systemsÂ
- 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)Â
- Solid understanding of databases, SQL, and data engineering concepts; experience with large-scale datasets or Apache Spark is a plusÂ
- Experience with cloud platforms (Azure preferred; AWS or GCP also valuable)Â
- Ability to design scalable, secure, and resilient systems following DevOps and cloud-native practicesÂ
- Excellent communication skills with the ability to explain complex concepts to non-technical stakeholdersÂ
- High adaptability to evolving requirements and dynamic project environmentsÂ
- Strong curiosity and passion for continuous learning in the rapidly evolving AI landscapeÂ
BRING YOUR BEST, EVERYDAYÂ
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.  Â
What we offer goes beyond a competitive package. It’s about creating the conditions for you to learn, belong, and deliver impact. That means: Â
- Your work life-balance supported by a hybrid working model Â
- Your creativity sparked in collaborative office spaces Â
- Your career growing through local and global opportunities Â
- Your development advanced with continuous learning and professional certificationsÂ
- Your well-being cared for with extra leave days and wellness initiativesÂ
- Your perspective valued in an inclusive team where your impact mattersÂ
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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.Â
Challenge accepted?Â
Our circle of connection matters - it’s at the heart of what we do. Click here (PwC life)Â
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All applicants will be acknowledged and treated in the strictest confidentiality.Â
AI Engineering Lead · wd3:pwc:Global_Experienced_Careers