The role involves designing and implementing generative AI and large language model solutions across various industries. Professionals in this position act as a bridge between technical teams to deliver business-centric AI value. Responsibilities include architecting AI products through benchmarking, prototyping, and validation. The work requires orchestrating the full AI workflow to ensure model integration is optimized for performance, security, and scale. Additionally, the role involves guiding clients on the use of techniques such as retrieval-augmented generation and fine-tuning to achieve cost-effective impacts.

Candidates must possess a Master's or Engineering degree in Computer Science, Engineering, Data Science, or a related quantitative field. The role requires one to three or more years of hands-on experience in machine learning, software engineering, or data science, specifically involving large language models and generative AI. Applicants must demonstrate strong programming proficiency in Python and experience with cloud platforms and MLOps principles. Excellent communication and complex problem-solving abilities are also necessary for this position.