Sr. Principal Consultant – Generative AI

Develop and implement generative AI models and algorithms with a focus on Vector Search Utility and Retrieval-Augmented Generation (RAG) techniques. 

Utilize knowledge mining techniques to extract information from multiple sources, including Salesforce, ServiceNow, and Confluence system. 

Employ Prompt Engineering techniques to enhance the performance of AI models. 

Collaborate with cross-functional teams to design and deploy microservices using Python, Flask/Django, and cloud platforms such as Azure or AWS. 

Preprocess and clean data to ensure high-quality inputs for AI models. 

Create comprehensive documentation of algorithms, models, and methodologies for knowledge transfer within the team. 

Stay updated with the latest advancements in artificial intelligence, machine learning, and deep learning. 

Apply deep learning architectures, neural networks, and machine learning techniques to improve AI models. 

Contribute to the development of AI solutions using popular frameworks like TensorFlow, PyTorch, or Keras. 

Utilize platforms like Databricks AI Platform or similar tools for efficient model development and deployment. 

Apply analytical and problem-solving skills to address complex AI challenges. 

Foster a collaborative and learning-oriented environment by actively sharing knowledge and insights.