Tax & Legal Services - Senior AI Engineer (Dubai)
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Key skills for this role
About the Role
PwC Middle East is seeking a Senior AI Engineer to design and build intelligent automation solutions for Tax & Legal Services. You will develop production-grade LLM applications, RAG systems, and data pipelines, deploying on Azure.
Key Skills for This Role
Responsibilities
- Design and build intelligent automation solutions for Tax & Legal Services, including document processing pipelines, compliance checking systems, and RAG based retrieval over multilingual regulatory data
- Independently take solutions from concept to production, responsible for architecture decisions, technology selection, and end to end delivery
- Develop backend API, LLM integration, and deployment on Azure, building scalable, production grade AI systems
Requirements
- Advanced Python skills with experience building scalable backend systems (FastAPI or similar)
- Strong experience building RESTful APIs, OAuth2/JWT authentication, Azure Entra ID, and external enterprise system integrations
- Proven experience developing production grade LLM applications, including RAG systems, chunking/embedding strategies, hybrid retrieval, re ranking, prompt engineering, and evaluation frameworks
- Experience with vector databases (FAISS, Pinecone, Azure AI Search), SQL/NoSQL databases, datalakes, and efficient retrieval strategies
- Strong experience handling unstructured/document heavy data, including ingestion pipelines, OCR, metadata extraction, and multilingual processing
- Hands on Azure experience, including App Services, Functions, Storage, Queues, Docker, Kubernetes/AKS, and monitoring tools
- Knowledge of data security, encryption, access control, data masking, audit logging, and governance in regulated AI environments
- Experience with Databricks or similar data engineering platforms
- Experience with knowledge graphs (e.g., Neo4j) for advanced retrieval or entity mapping
- Prior experience in regulated industries (Tax, Legal, Financial Services)
- Experience with Azure AI Document Intelligence or similar document extraction tools
- Familiarity with modern UI frameworks (e.g., Tailwind CSS) is a plus
Full Job Posting
About Us
- With offices in 152 countries and nearly 328,000 professionals, we are one of the world’s leading professional services networks.
- For over 40 years, we have contributed to the Middle East’s transformation journey, partnering with governments and businesses to deliver sustainable solutions.
Business Unit Overview
- We are seeking a Senior AI Engineer to design and build intelligent automation solutions for Tax & Legal Services, including document processing pipelines, compliance checking systems, and RAG based retrieval over multilingual regulatory data.
- This role requires a high degree of ownership, where the engineer will independently take solutions from concept to production.
- The primary focus is on AI systems, data pipelines, and cloud deployment, with frontend development limited to lightweight user interfaces for prototyping and internal tools.
How You’ll Contribute
- Advanced Python skills (FastAPI or similar) with experience building scalable backend systems; TypeScript knowledge is a plus.
- Strong experience building RESTful APIs, OAuth2/JWT authentication, Azure Entra ID, and external enterprise system integrations.
- Proven experience developing production grade LLM applications, including RAG systems, chunking/embedding strategies, hybrid retrieval, re ranking, prompt engineering, and evaluation frameworks.
- Experience with vector databases (FAISS, Pinecone, Azure AI Search), SQL/NoSQL databases, datalakes, and efficient retrieval strategies.
- Strong experience handling unstructured/document heavy data, including ingestion pipelines, OCR, metadata extraction, and multilingual processing (Arabic is a plus).
- Working knowledge of React/Next.js for lightweight UI prototyping and collaboration with frontend teams.
- Knowledge of data security, encryption, access control, data masking, audit logging, and governance in regulated AI environments.
- Hands on Azure experience, including App Services, Functions, Storage, Queues, Docker, Kubernetes/AKS, and monitoring tools.
Additional Requirements
- Experience with Databricks or similar data engineering platforms
- Experience with knowledge graphs (e.g., Neo4j) for advanced retrieval or entity mapping
- Prior experience in regulated industries (Tax, Legal, Financial Services)
- Experience with Azure AI Document Intelligence or similar document extraction tools
- Familiarity with modern UI frameworks (e.g., Tailwind CSS) is a plus
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