AI Architect Big Entities

Our client Big Entities is looking for AI Architect in Lahore.

Job Description:

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.