Strategic AI Architect

3 days ago

Lahore, Punjab, Pakistan beBeeExpert Full time 2,500,000 - 3,500,000
Job Title:

Enterprise AI Leader


About The Opportunity

We are seeking an experienced Enterprise AI Leader with deep expertise in Generative AI (GenAI), a solid foundation in AI/ML, and a strong background in enterprise architecture. The ideal candidate has experience deploying solutions across on-premises, cloud, and hybrid environments.

  • Key Responsibilities:
  • Design and implement end-to-end AI-powered enterprise solutions integrating AI/ML with traditional systems
  • Lead and mentor a cross-functional team of engineers (AI/ML, full-stack, DevOps) in an Agile environment
  • Drive strategic technical decisions across infrastructure, data platforms, APIs, microservices, and AI components
Technical RequirementsGenAI Leadership
  • Extensive hands-on experience with LLMs, including fine-tuning and deployment
  • Expertise in Agentic AI, multi-agent systems, and Agentic RAG implementations
  • Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains
  • Skilled in advanced prompt engineering and Chain-of-Thought (CoT) methodologies
  • Successfully implemented GenAI applications in production
Ai/Ml Foundation
  • Strong practical experience building AI/ml solutions using Python, TensorFlow, and PyTorch
  • Capable of managing the full AI/ml lifecycle: development, deployment, and monitoring
  • Experience integrating AI/ml models with enterprise architecture
Enterprise Architecture & Deployment
  • Full-stack development using the MERN stack or equivalent
  • Deployment experience across on-premises, cloud, and hybrid environments
  • Expertise in Kubernetes for container orchestration and scalable deployments
  • Database knowledge: SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB)
  • Strong API development skills: REST, GraphQL, and microservices architecture
  • Hands-on DevOps experience: Docker, CI/CD, infrastructure automation
Cloud & Infrastructure
  • Deep expertise in AWS, Azure, or GCP with strong ML service exposure
  • AWS technologies: SageMaker, Bedrock, Lambda, API Gateway (or equivalents on other clouds)
  • Hybrid architecture planning and implementation combining cloud, on-prem, and AI/ml systems
Proven Delivery
  • Delivered complex enterprise solutions involving AI/ml components
  • Strong leadership experience in managing cross-functional technical teams

A successful candidate will have strong GenAI leadership, AI/ml development, and robust enterprise deployment capabilities. Must be comfortable working in hybrid environments and willing to travel when needed.

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