Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
About this role
This role sits within the Next-Generation Strategy Division’s healthcare technology team and leads the technical direction of AI services built around medical and health data. The work focuses on disease-specific AI applications and platforms intended for practical healthcare use, with attention to medical quality, safety and scalability.
The architect will define technology strategy, select technologies and design systems combining LLMs, RAG, machine-learning models and data platforms. Responsibilities include leading development with AI engineers, data scientists and healthcare specialists, and building sustainable foundations that address AI quality evaluation, security and governance. The required background includes designing and developing AI or machine-learning systems, development experience with Python, system-design experience using AWS, Azure or GCP, and product-development experience using LLMs or generative AI. Candidates must also have experience leading technology work involving multiple stakeholders.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.