Lead Ai Engineer — Financial Crime Technology

PwC UK

Prague, Czech Republic
Onsite
Llm/genai solution architecture
Python development with fastapi
Langchain / langgraph / autogen / crewai
Cocreate and deliver AI/GenAI solutions that help banks and insurers prevent financial crime at scale

Job Summary

  • Cocreate and deliver AI/GenAI solutions that help banks and insurers prevent financial crime at scale.
  • Own end-to-end architecture for LLM/GenAI solutions and lead Python development with strong software engineering practices.
  • Join an emerging practice at the intersection of AI innovation and financial crime prevention with significant client exposure and rapid career growth.

Matching Summary

Cocreate and deliver AI/GenAI solutions that help banks and insurers prevent financial crime at scale.

Skills & Requirements

Must-have

  • LLM/GenAI solution architecture
  • Python development with FastAPI
  • LangChain / LangGraph / Autogen / CrewAI
  • Embeddings and vector databases
  • Cloud-native environments (Azure preferred)
  • Responsible AI and security controls
  • Client leadership and solution shaping

Nice-to-have

  • Domain exposure to financial crime
  • Databricks ecosystem experience
  • Data engineering at scale
  • Czech language proficiency

Key Requirements

  • 5+ years in software/AI engineering
  • 2-3+ years delivering LLM-enabled applications
  • Strong Python / TypeScript and API/service development
  • Hands-on with RAG architectures and vector databases
  • Experience with AI/LLM orchestration frameworks
  • Cloud native engineering experience
  • Demonstrated client leadership skills

Work Rights

Not specified

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