GenAI Solution Architect

7+ years of experience in Solution Architecture or Lead cloud Engineering position with at least 2+ years of previous work experience with Generative AI

Ability to define target state technology architecture and roadmaps.

Practical experience in training & inferring from LLMs, including quantization & prompt engineering.

Strong knowledge of data structures, algorithms, and software engineering principles

Experience with big data platforms such as Snowflake and Databricks

Expert with cloud compute environments (GCP/AWS/Azure) along with cloud-native tools

Proficient in API creation with FastAPI, Flask, etc., and familiar with Streamlit or similar tools.

Skilled in applications (Python, PyTorch, TensorFlow, or Keras).

Demonstrated ability to prototype innovative GenAI solutions.

Involvement with the open-source AI community is a plus.

Pharmaceutical R&D is advantageous.

Generative AI Design patterns, technical architecture & define best practices

Advanced NLP techniques and deep learning methodologies

Current understanding of LLMs and their use