AI Leader – Enterprise Solutions Designer

3 days ago


Islamabad, Islamabad, Pakistan beBeeGenerativeai Full time 80,000 - 100,000
AI Leadership Position

We are seeking an experienced Technology Lead with expertise in Generative AI to design and implement end-to-end solutions integrating AI/ML with traditional systems.

Key Responsibilities
  • Develop and deploy AI-powered enterprise solutions leveraging AI/ML and data platforms.
  • Mentor and lead a cross-functional team of engineers in Agile development environments.
  • Drive strategic technical decisions across infrastructure, APIs, microservices, and AI components.
Technical RequirementsGenAI Expertise (3+ Years)
  • Fine-tune and deploy Large Language Models (LLMs) including LLAMA, Mistral, and GPT.
  • Implement Agentic AI, multi-agent systems, and Agentic RAG models.
  • Apply proficiency in vector databases, LangChain, LangGraph, and modern GenAI toolchains.
  • Develop advanced prompt engineering and Chain-of-Thought methodologies.
  • Deliver 3+ GenAI applications in production environments.
Ai/Ml Foundation (4–5 Years)
  • Built Ai/Ml solutions using Python, TensorFlow, and PyTorch.
  • Managed the full Ml lifecycle: development, deployment, and monitoring.
  • Integrated Ai/Ml models with enterprise architecture.
Enterprise Architecture & Deployment (8+ Years)
  • Developed full-stack solutions using the MERN stack or equivalent.
  • Deployed applications across on-premises, cloud, and hybrid environments.
  • Expertise in Kubernetes for container orchestration and scalable deployments.
  • Databases: SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).
  • 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 7+ complex enterprise solutions involving Ai/Ml components.
  • Strong leadership experience in managing cross-functional technical teams.


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