Senior AI Data & Integration Engineer

About the role

Lead the design and delivery of secure, scalable data foundations and API integrations that power AI assistants, enterprise search, and agent-based workflows at a global law firm. You will own technical architecture for data pipelines and integrations, ensuring legal and business information reaches AI applications with the right context, permissions, quality, and traceability. This role suits a strong API/integration engineer with hands-on Python experience and a solid grasp of LLMs and RAG.

Responsibilities

• Own architecture and design of data pipelines connecting document management, knowledge, client, matter, and business systems to AI platforms
• Lead design, development, and operation of secure RESTful and event-driven API integrations
• Establish standards for authentication, authorization, versioning, error handling, observability, and rate limiting
• Ensure source-system permissions, information barriers, and client restrictions are preserved through processing and retrieval
• Propagate document updates, permission changes, retention decisions, and deletions to downstream stores and search indexes
• Develop data models connecting clients, matters, people, and documents, and build governed data products and tool interfaces for AI agents
• Support RAG architectures including search indexes, embeddings, hybrid retrieval, reranking, and retrieval evaluation
• Partner with AI evaluation engineers to turn failure modes into tests, regression suites, and production controls
• Diagnose and resolve complex production issues across APIs, pipelines, indexes, and AI applications
• Lead technical delivery, review designs and code, and mentor engineers
• Translate business, legal, security, and governance requirements into practical technical solutions