Lead AI Engineer — Financial Crime Technology

Job Description & Summary

Were looking for a client-facing Lead AI Engineer to cocreate and deliver AI/GenAI solutions that help banks and insurers prevent financial crime at scaleacross KYC/CDD sanctions screening transaction monitoring fraud and investigations. You will be the technical face of our delivery: shaping the solution with senior stakeholders leading squads of engineers and analysts and ensuring what we build is reliable auditable secure and regulator ready. Youll turn complex business problems into production-grade AI systems and measurable outcomes (quality speed cost) in close partnership with our financial crime SMEs.

About your manager

Liviu Chirita is Partner responsible for PwC CEE Financial Crime Advisory. Originally with a background in financial services risk management he has led an expansion of the current team into wider Risk & Regulatory topics including digital and technology related support to PwC clients. The existing multi-national team is predominantly Prague based.

Job description & summary

Key Responsibilities

Client leadership & solution shaping

• Lead client discovery architecture workshops and executive readouts; translate regulatory and operational pain points into actionable AI solution designs and roadmaps (incl. delivery plan risks controls KPIs).

• Partner with risk/compliance operations and IT to define acceptance criteria nonfunctional requirements (SLA auditability) and handover operations; act as day-to-day senior technical contact.

• Support presales (RFPs/PoCs) scope for technical estimates and create proposal content with clear value hypotheses and evaluation plans.

Technical architecture & hands-on engineering

• Own end-to-end architecture for LLM/GenAI solutions (RAG pipelines agentic workflows tool/function calling memory evaluation harnesses observability). Build reusable components/APIs and reference patterns.

• Lead Python development (e.g. services with FastAPI) and implement orchestration using LangChain / LangGraph / Autogen / CrewAI with strong software engineering practices (tests CI/CD containers).

• Integrate embeddings and vector databases; implement retrieval quality controls prompt strategies and offline/online evaluation to prevent regressions.

LLMOps / MLOps & cloud

• Stand up cloud-native environments (Azure preferred; AWS/GCP welcome) with registries feature/vector stores deployment automation monitoring and cost/performance governance.

• Implement runtime observability (latency cost safety events drift)

Responsible AI security & compliance

• Embed Responsible AI controls (safety filters red-teaming bias checks where appropriate) robust access controls (IAM/RBAC/secrets) data minimization and privacy-by-design

• Align designs to financial services control environments and audit needs across AML/sanctions/fraud domains.

Requirements of the role

• 5 years in software/AI engineering with 23 years delivering LLMenabled applications in production (prompting function/tool calls structured outputs eval). Strong Python / TypeScript and API/service development.

• Deep hands on with RAG architectures (embeddings retrieval evaluation) and vector databases (e.g. pgvector/FAISS/Weaviate/Milvus).

• Experience with AI/LLM orchestration frameworks (LangChain LangGraph Autogen CrewAI) and agentic design patterns.

• Cloud native engineering (preferably Azure) incl. CI/CD Docker/Kubernetes logging/monitoring and secure configuration (IAM RBAC secrets network isolation).

• Demonstrated client leadership: structuring ambiguous problems facilitating workshops and communicating clearly with senior business and technology stakeholders.

• Excellent English (spoken/written). Czech is a plus for onsite workshops in Prague.
  

Nice to have:

• Domain exposure to AML sanctions KYC fraud and understanding of operational/regulatory realities in financial institutions.

• Databricks ecosystem (Lakehouse Unity Catalog Delta MLflow) and Mosaic AI Framework for LLM app development.

• Data engineering at scale (event driven/microservices streaming) and secure integrations with case management screening and core banking platforms.

Our Benefits and Fun

• Youlljoin an emerging practice at the intersection of AI innovation and financial crime prevention a space where technology decisions haverealoperational and regulatory with leading financial institutions on challenges that require both analytical rigor and practical business judgment.

• Concentrated experience and rapid career growth. It may sound like a platitude but it really is.

• Fair wages plus paid overtime.

• Paid time off 30 days 3 Wellbeing days and 2 extra days off from the company at the end of the year.

• High-end Ultrabook and iPhone with unlimited data.

• Benefit program with 55.000 points that you can use for holidays education food vouchers sports (Multisport) health... Simply on what you enjoy.

• Supporting your development and education: business and digital skills training (e.g. Alteryx Power BI Tableau) ongoing training and certifications e.g. Microsoft (Azure PowerApps) project management (Prince2 PMI) service management (ITIL) agile development (Scrum SAFe) DAMA Salesforce coaching and presentation skills and more.

• Extra-work activities and Away Days (team building ski weekend etc.).

• Regular feedback on your work also consultation with a coach with whom you can address your further development and career direction.

PwC is the largest audit team in the Czech Republic but also law tax consulting and technology data or forensic teams. Find out how easy it is to combine this knowledge when youre in the right place. With us you will get the opportunity to see how business is done in large companies. We are part of an international network of companies with more than 364000 colleagues in 151 countries. At PwC we create an inclusive work environment where everyone can be themselves and find their place and opportunity to develop. This year we have successfully maintained the prestigious Equal Pay Certification making us one of only four companies in the Czech Republic (and the only one from the Big 4) that demonstrably implements fair compensation practices regardless of gender.

This role offers significant client exposure the opportunity to shape how we deliver AI solutions and a team environment that values clarity substance and continuous improvement. Ifyourelooking for a role where your ability to understand clients and translate complexity into action matters as much as technical knowledgewedlike to hear from you.

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