AI Architect - Big Entities

taraki-search; Lahore; On-site; PKR 3,500,000 - 7,000,000; Full time

Job summary

Big Entities in Lahore is seeking a Senior AI Architect to lead the design and delivery of an enterprise document processing platform. You will own end-to-end AI architecture across ingestion to retrieval and guide a team of AI engineers.

You will shape a hybrid AI strategy, balancing deep learning, NLP, and LLM usage to ensure scalable, secure solutions for large document corpora. Strong Python, Azure deployment, and mentoring experience are essential.

Qualifications

• 6+ years in AI/ML with at least 1 year in senior/architect role.
• Python 3 and the modern AI/NLP stack expertise.
• Experience deploying production AI pipelines on Azure.
• Strong understanding of LLM orchestration, prompt engineering, RAG architecture, and embedding strategies.

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.

Skills

Python

Azure

LLM orchestration

RAG

Embedding models

NLP stack

Technical leadership

Mentoring

API design

Security/compliance

Document processing

Tools

Azure AI Studio

Job description

Our clientBig Entitiesis looking forAI ArchitectinLahore.

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.