AI Architect

We are seeking a Senior AI Engineer to lead the technical delivery of an intelligent document processing platform. This role combines technical leadership with hands-on engineering. You will define the AI processing strategy, guide the engineering team, and be accountable for the quality and scalability of the platform across a large corpus of enterprise documents.

Key Responsibilities :
•     Own the end-to-end AI architecture across ingestion, classification, extraction, indexing, and retrieval.
•     Define the hybrid AI strategy — determining when to use deep learning models, traditional NLP, and LLMs.
•     Make architectural decisions on model routing, chunking strategies, and cost-quality trade-offs at scale.
•     Define the information extraction framework, confidence scoring model, and output structure.
•     Lead the vector indexing and RAG retrieval layer, including embedding models and semantic search tuning.
•     Guide and mentor AI Engineers — reviewing code, setting standards, and providing technical direction.
•     Collaborate with the Full-Stack Developer on API contracts and pipeline output integration.
•     Drive performance optimisation, error handling, and fallback mechanisms across the pipeline.
•     Produce technical documentation and handover materials.
•     Serve as the primary technical point of contact with client stakeholders.

Required Skills: 
•     6+ years of experience in AI/ML engineering, with at least 1 year in a senior or architect-level role.
•     Deep expertise in Python 3 and the modern AI/NLP stack.
•     Proven experience deploying production AI pipelines on Azure.
•     Strong understanding of LLM orchestration, prompt engineering, RAG architecture, and embedding strategies.
•     Experience with hybrid AI approaches combining deep learning, traditional NLP, and LLMs.
•     Experience processing large corpora of heterogeneous documents at scale.
•     Experience navigating enterprise cloud environments with security and compliance constraints.
•     Track record of mentoring engineers and maintaining engineering standards.

Preferred  Qualifications:

•     Experience with enterprise document repositories and their integration APIs.
•     Familiarity with Azure AI Studio and custom model deployment.
•     Exposure to distributed processing frameworks for large-scale batch operations.
•     Strong communication skills for client-facing technical discussions.