GenAI Lead Consultant / Senior Lead Consultant

We are looking for an experienced GenAI Lead Consultant / Senior Lead Consultant to design, develop, and deploy scalable, secure, and production-ready Generative AI and Machine Learning solutions. The ideal candidate will have strong hands-on experience in Python, Large Language Models (LLMs), Deep Learning, and GenAI application development, along with the ability to transform proof of concepts (PoCs) into enterprise-grade solutions.

Key Responsibilities

• Lead the design and architecture of Generative AI solutions, including LLM-based applications, conversational AI, copilots, and intelligent automation platforms.
• Design, develop, test, and deploy LLM-based applications and machine learning models.
• Build and optimize end-to-end LLM development and deployment pipelines.
• Transform GenAI proofs of concept into scalable, secure, production-grade applications.
• Develop and implement machine learning algorithms, conduct experiments, and evaluate model performance.
• Prepare, clean, process, and select appropriate datasets for training and evaluating AI/ML models.
• Work with open-source and API-based LLMs, prompt engineering, and frameworks such as LangChain and Microsoft Semantic Kernel.
• Design cloud-based GenAI architectures with a focus on scalability, security, performance, and cost optimization.
• Implement Responsible AI and data privacy practices, ensuring transparency, fairness, and ethical handling of data.
• Collaborate with cross-functional teams to translate business requirements into effective AI-driven solutions.

Required Skills

• Strong programming experience in Python.
• Hands-on experience in Generative AI, LLM development, and deployment.
• Knowledge of Machine Learning, Deep Learning, Natural Language Processing (NLP), and neural networks.
• Experience with frameworks and libraries such as LangChain, Semantic Kernel, PyTorch, TensorFlow, Keras, or NumPy.
• Understanding of prompt engineering, LLM evaluation, and model optimization.
• Experience in building ML/LLM pipelines and deploying AI applications in production environments.
• Knowledge of cloud AI/ML platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Understanding of data mining, statistical analysis, data visualization, and Responsible AI principles.

Preferred Skills

• Experience with Retrieval-Augmented Generation (RAG), conversational AI, copilots, and intelligent automation.
• Familiarity with PySpark, Databricks, Azure ML, AWS AI/ML services, or Google Cloud AI/ML tools.
• Experience designing scalable, secure, and cost-optimized GenAI architectures.
• Knowledge of data privacy, bias mitigation, and responsible model governance.

Minimum Qualifications

Bachelor's or Master's degree in Engineering, Computer Applications, Computer Science, or a related discipline.