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GEN AI Architect

2 weeks ago

Lahore, Punjab, Pakistan Liztek Full time 3,500,000 - 6,000,000 per year

Job Title
: GEN AI Architect

Location
: Onsite, Lahore

Need to have exp
. :Atleast 2 project on Gen AI

Job Summary
:

We are seeking a highly skilled GEN AI Architect with extensive experience in designing and deploying AI powered agents and architectures. The ideal candidate will have a strong background in large language models (LLMs) and a proven track record of implementing scalable AI solutions that align with business objectives. This role requires a blend of technical expertise, strategic thinking, and excellent communication skills to collaborate effectively with cross functional teams.

Responsibilities
:

  • Define & Design AI Architectures: Establish scalable, modular, and efficient architectures for AI agents, LLM based applications, and generative AI models.
  • Hands on AI Development: Implement and optimize generative AI models using frameworks such as OpenAI, LangChain, and RAG.
  • AI Integration & Deployment: Work with cloud AI platforms (Azure, Google Cloud Platform) to implement best practices for MLOps, model serving, and continuous improvement.
  • Enterprise AI Strategy: Align AI driven solutions with business objectives, ensuring scalability, security, and cost effectiveness.
  • Cross functional Collaboration: Engage with product teams, data scientists, and engineering teams to ensure seamless integration of AI powered solutions into business workflows.
  • AI Governance & Ethics: Establish responsible AI practices, ensuring compliance with data privacy, model bias mitigation, and security best practices.
  • Evaluation & Optimization: Continuously assess AI agent performance and optimize for improved outcomes.

Mandatory Skills
:

  • Hands on experience in designing and deploying AI powered agents and multi agent architectures.
  • Expertise in Large Language Models (LLMs) such as GPT, BERT, and Llama.
  • Proficiency in AI frameworks like TensorFlow, PyTorch, and Hugging Face.
  • Strong knowledge of retrieval augmented generation (RAG) and vector databases (e.g., Vector DBs).
  • Experience with cloud AI services (Azure Cognitive Services) and containerized deployment using Docker and Kubernetes.
  • Strong background in API driven development, API and Microservices, and event driven architectures.
  • Experience with MLOps, CI/CD Pipeline, and monitoring AI models in production.
  • Excellent problem solving, analytical thinking, and effective communication skills.
  • Preferred Skills:
  • Experience with AI orchestration/agents frameworks, including AG2, CrewAI, and AutoGPT.
  • Familiarity with multi modal AI models (text, image, video, audio) and AI personalization techniques.
  • Knowledge of Responsible AI principles, including bias mitigation and explainability.
  • Advanced academic background (PhD/Master's) in AI, ML, Data Science, or a related field.

Qualifications
:

The ideal candidate will possess a strong technical foundation in AI architecture and development, with a focus on delivering innovative solutions that drive business value. A commitment to responsible AI practices and a passion for continuous learning in the rapidly evolving AI landscape are essential.