Gen AI Architect

Strong understanding of machine learning and deep learning principles and algorithms.

Experience in developing and implementing generative AI models and algorithms.

Have built high volume RAG based multi-modal applications with Vertex AI/ Hugging face/Azure OpenAI. Solution Architect experience in designing and implementing LLM centric reasoning based solutions.

Has experience in designing and implementing modern LLM based solutions such as Agentic Workflows using frameworks like Langgraph, CrewAI or AG2

Proficiency in programming languages such as Python and DL frameworks like TensorFlow and PyTorch.

Ability to work with large datasets and knowledge of data preprocessing techniques.

Familiarity with natural language processing (NLP) and computer vision for generative AI applications.

Experience in building and deploying generative AI systems in real-world applications.

Utilize advanced machine learning techniques to develop and train generative AI models.

Collaborate with cross-functional teams to groom and preprocess large datasets for model training.

Research and implement cutting-edge algorithms and architectures for generative AI applications.

Take care of entire prompt life cycle like prompt design, prompt template creation, prompt optimization for various GenAI base models

Stakeholder management across business and domains as required for the projects

Evaluating base models and benchmarking performance

Implement prompt guardrails to prevent attacks like prompt injection, jail braking and prompt leaking

Develop, deploy and maintain auto prompt solutions

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