Pwc
Data Analytics & Artificial Intelligence
SeniorAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Engineer at Pwc. Skills: AI, Machine Learning, LLM technologies, Data Analytics, Data Engineering. Design and implement end-to-end AI pipelines, covering data ingestion, transformation, modeling, and production deployment. Build and refine LLM-based applications (e.g., retrieval workflows, agentic systems, autonomous tools)”
Industry & Context.
Analytical skills, innovative and a problem-solving mindset
Attendance to regular planning sessions/workshops required, Working Overlap: Yes, minimum 2–6pm CET
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related discipline, software engineering skills in Python, Hands-on experience building LLM applications (prompting, fine-tuning, evaluation, structured output), Practical knowledge of RAG architectures, embedding models, and vector databases, Experience with AI/LLM orchestration frameworks (e.g., LangChain, LangGraph, Autogen, CrewAI), Familiarity with cloud-native development (Azure AWS/GCP an advantage), Understanding of data engineering practices and ability to work with large datasets, Experience with version control, Docker, CI/CD pipelines, and testing strategies, Analytical skills, innovative and a problem-solving mindset, Demonstrating ownership and technical depth, Czech and English on professional level, Effective communication skills for cross-functional collaboration
Nice to Have
Experience working as part of a global/multinational team, Hands-on experience with one or more cloud services (Azure, AWS, GCP), Being up to date with the current trends and advancements in the data science field, Any experience in deep learning, computer vision and/or geo analytics is a plus, Previous experience with development using agile methodologies like Scrum or Kanban, Interest in behavioral economics and/or data science, Github profile, Proficiency in Czech, Knowledge of responsible AI principles and mitigation methods is a plus
What You'll Do.
Design and implement end-to-end AI pipelines
covering data ingestion
and production deployment
Build and refine LLM-based applications (e.g.
Develop reusable AI components
and automation solutions for internal and client-facing use cases
Create robust prompt strategies
evaluation frameworks
and quality-control methods
Integrate embedding models
and memory mechanisms into scalable architectures
Apply engineering best practices (testing
performance monitoring)
Stay up to date with emerging AI frameworks
Support responsible AI practices
Consistently contribute beyond the AI remit
particularly in MLOps
ensuring seamless deployment and operations of AI solutions
Conduct original research even in areas with limited references
driving innovation within the team
How You'll Work.
Team & Collaboration
Collaborate with cross-functional project teams to translate business needs into engineering deliverables; Effective communication skills for cross-functional collaboration; Work with foreign PwC offices, for example in the UK, DE, NL, USA, Canada and other countries; Develop your skills while having the support from the top notch professionals in the team (also career coaching etc)
Communication Scope
Effective communication skills for cross-functional collaboration
Process & Methodology
Agile methodologies like Scrum or Kanban
Full Job Description
**Job Description & Summary** ## ;About Application Development We are a team dedicated to delivering world‑class services across data analytics, artificial intelligence, machine learning, and data engineering. We combine deep technical expertise with strong industry knowledge to help organizations make informed decisions and unlock the full value of their data through advanced AI and ML solutions. Our work focuses on creating measurable impact for clients while applying modern methodologies, robust engineering practices, and proven analytical frameworks. Our team values—EXPERTISE, RELIABILITY & RESPONSIBILITY, and TRUST—are central to everything we do, ensuring we deliver high-quality work with integrity and collaboration. ## About your manager [Marek Novotný](http://www.linkedin.com/in/marek-novotn%C3%BD-2646781a?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAAAQDlmwBanutjOT49xWFECw209-VQpabza4&lipi=urn%3Ali%3Apage%3Ad_flagship3_search_srp_all%3BPIrddfYMQJqE2CHpZUYsBw%3D%3D) is a Partner within the Advisory services of PwC. Working extensively in the US and European geographies, he is recognized as a strong executive within the technology areas. He is focused on quality while providing a reliable and trustworthy services in areas of custom software development covering digital products and services development, cloud transformations and data related services (analytics, engineering and science). ## Job description & summary We’re looking for a highly motivated **Senior AI Engineer** to join our **Data Analytics & Artificial Intelligence team**. The team combines deep technical expertise with strong industry understanding to help organizations make informed, data‑driven decisions and fully leverage advanced AI and machine‑learning capabilities. Your work will support impactful client solutions while contributing to the development of next‑generation AI assets and applications. You’ll partner with engineers, data specialists, and domain experts to design, build, and
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