AI Engineering Lead
Pwc
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What engineering roles keep asking for: Python (21%), AWS (20%), Observability (14%), System design (14%), CI/CD (12%) — counted across their open postings here.
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Pwc has 4,557 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for engineering roles keep coming back to Python, AWS, Observability, System design. Practise those questions before you sit with Pwc.
Questions you are likely to be asked
- Why do you want to join Pwc?
- What is your experience with Generative AI? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the AI Engineering Lead at Pwc interview free →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.
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Listed on workday · posted 2026-10-14. ApplySarthi collects openings and links to application pages; the role is advertised by Pwc, not by us.