AI Architect - Big Entities

taraki-search

Lahore

On-site

PKR 3,500,000 - 7,000,000

Full time

3 days ago
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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.
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