Mistral AISingapore3h ago
PwCPosted 1mo ago
Senior AI Engineer at PwC scores 92 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Job Description & Summary
PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.
PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.
What do we guarantee?
- Work format: Remote or in a comfortable office in Lviv - you choose.
- Development: Personal development plan, mentoring, English and Polish language courses.
- Stability: Official employment from day one, annual review of salary and career prospects.
- Corporate culture: Events that unite the team and a space where everyone can be themselves.
Join PwC's Advanced Technology Solutions team as an AI Engineer, where you will contribute to AI and data science solutions for leading global clients. This role is suitable for developers and engineers who want to build, deploy, and scale machine learning systems and AI-powered applications in a dynamic consulting environment.
We are looking for candidates who are strong in Python, confident working with data, and capable of turning complex business challenges into reliable, production-ready AI solutions while collaborating with clients across Western Europe and the USA.
Key Responsibilities:
- Design, develop, and deploy AI and Machine Learning solutions.
- Build Python-based applications leveraging Generative AI, LLMs, RAG, NLP, Computer Vision, and Data Science techniques.
- Participate in the full project lifecycle, from requirements gathering through deployment and ongoing support.
- Collaborate with clients and internal teams to understand business challenges and translate them into scalable technical solutions.
- Work with structured and unstructured data to develop AI-driven applications.
- Actively leverage AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, and ChatPwC to enhance productivity, improve code quality, accelerate delivery, and solve complex problems responsibly.
What You Bring:
- 3-4+ years of experience in AI, Machine Learning or Software Engineering.
- Strong Python programming skills (e.g. pandas, numpy, scikit-learn).
- Hands-on experience with Generative AI, LLMs, RAG, NLP, Machine Learning, or Computer Vision.
- Experience working with SQL databases.
- Understanding of the ML lifecycle, including model training, evaluation, deployment, and monitoring.
- Strong analytical and problem-solving skills.
- English B2+.
Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- What's a project where you used Claude hands-on?
- Walk me through how you've used Copilot in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Rag, Computer Vision, Nlp, Claude, and Copilot. 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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