The role involves designing and implementing generative AI and large language model solutions across various industries. The individual will act as a bridge between technical teams to deliver business-centric AI value and guide clients on optimal implementation paths. Responsibilities include architecting AI products through benchmarking, prototyping, and validation. The position requires orchestrating the full AI workflow to ensure performance, security, and scalability. Additionally, the role involves staying current with technological advancements to contribute to internal knowledge sharing and innovation.

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