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PwC

Senior AI Engineer (m/f)

PwC is hiring a Senior AI Engineer (m/f) in Bratislava, Slovakia. Level rates it ; you can apply on PwC.

Level's read on this job

  • On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions OpenAI, Claude and Copilot among its tools and skills.
  • Level classes it as a senior role.
  • PwC has 3,700+ other open roles on Level.

AI in this role

Lead the design, development, and deployment of enterprise AI and machine learning solutions using Python and generative AI technologies.

OpenAIClaudeCopilotscikit-learnCursorClaude CodePythonpandasNumpyGitHub Copilot
ragcomputer-visionnlpmachine-learninggenerative-aillmssoftware-engineering

Job Description & Summary

Join PwC's Advanced Technology Solutions team as a Senior AI Engineer (m/f), where you will lead and contribute to AI and data science solutions for leading global clients. This role is suitable for experienced developers and engineers who want to architect, build, and deploy machine learning systems and AI-powered applications at scale.

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 engaging directly with clients across Western Europe and the USA.

At PwC, AI proficiency is a core capability for modern developers, helping deliver faster, higher-quality, and more innovative solutions. We use AI across software development, data engineering, cloud, automation, and analytics, with tools such as GitHub Copilot, Cursor, Claude Code, and our own ChatPwC. Through collaborations with leaders like Microsoft and OpenAI, we bring state-of-the-art AI into everyday work. We expect candidates to actively use AI tools to boost productivity, improve problem-solving, and deliver scalable, high-impact solutions responsibly.

Key Responsibilities

  • Lead the design, development, and deployment of AI and Machine Learning solutions.

  • Architect scalable applications leveraging Generative AI, LLMs, RAG, NLP, Computer Vision, and Data Science techniques.

  • Own technical solution design and guide implementation decisions across projects.

  • Work directly with clients and stakeholders to understand business requirements and shape AI solution roadmaps.

  • Drive delivery of production-ready AI systems while ensuring high engineering and quality standards.

  • Mentor and support team members through technical leadership, code reviews, and knowledge sharing.

  • 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 business challenges responsibly.

What You Bring

  • 4+ years of experience in AI, Machine Learning or Software Engineering.

  • Strong Python programming skills (e.g. pandas, numpy, scikit-learn).

  • Proven experience delivering solutions involving Generative AI, LLMs, RAG, NLP, Machine Learning, or Computer Vision.

  • Experience working with SQL databases.

  • Experience designing, deploying, and maintaining production-grade AI systems.

  • Understanding of the ML lifecycle, including model training, evaluation, deployment, and monitoring.

  • Strong analytical and problem-solving skills.

  • Experience working directly with clients, stakeholders, and business users.

  • Ability to mentor and support less experienced engineers.

  • English B2+.

Get to know us:

Additional Information:

Salary: starting from 2500 EUR/month

(The stated salary represents the minimum for this position. Final compensation is determined individually based on your experience, expertise, seniority, and overall profile.)

Employing organization: PricewaterhouseCoopers Advisory, s.r.o.

Start date: By agreement

Benefits you can enjoy while working at PwC:

  • Financial Rewards: Benefit from regular salary reviews, performance bonuses and other special bonuses. Enjoy meal contributions and a cafeteria benefit system offering personalized choices.

  • Flexibility & Work-Life Balance: Enjoy our hybrid working policy, flexible working hours, 2 extra days off during Christmas along with Sick-days. Every minute of your extra work is valued and compensated.

  • Career Development: Engage in tailored internal and external training programs as well as structured career development plan.

  • Health & Well-being: Access premium benefits such as Multisport card or a medical center membership. Take advantage of our Well-being and Work-Life Coaching program.

  • Supportive Culture: Participate in team building activities and social events and join our employee referral program. Experience a culture with regular feedback and a supportive environment.

  • Global Opportunities: Seize the opportunity for international assignments and work on diverse projects with international clients. Explore the world while working with the possibility of working from abroad.

  • Extra perks: Use various discounts at partner companies such as cars, health care, beauty, culture or others. Transfer up to 4 telephone numbers at discounted rates.

Information about the selection process:

At PwC, we believe in nurturing your career, supporting your health and wellness, and recognizing your dedication. Join our team and experience a workplace that values you beyond your work hours.

If you'd like to apply for this position, please click on the "Apply Now" button on our website and apply through our system.

You can find the data privacy announcement here: https://pwc.to/2s8n2tn

If the current position is not right for you but you have friends or acquaintances in your area who could be interested in working with us, feel free to direct them to us. If we establish cooperation with a candidate recommended by you, you can receive a reward from 300 to 1000 EUR, depending on the seniority of the candidate: https://www.pwc.com/sk/en/careers/get-rewarded-for-recommending-candidate.html

#LI-HĎ1

How we rate this

Senior AI Engineer (m/f) at PwC rates 85 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.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

RAGComputer visionNLPMachine learningGenerative AILLMsSoftware EngineeringOpenAI

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

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  3. What NLP problem have you worked on, and how did you measure whether it actually worked?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where generative ai was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, Computer vision, NLP, Machine learning, and Generative AI. 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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