Lead the ideation, development, and productionalization of sophisticated AI solutions tailored for healthcare payer use cases.
Architect, design, and implement complex, state-of-the-art AI models and algorithms, leveraging Python and cloud platforms like GCP Vertex AI.
Partner strategically with product teams and business stakeholders to define and prioritize opportunities for applying advanced AI techniques to solve critical business challenges and drive process automation.
Conduct in-depth research and maintain expertise in the latest advancements in AI, championing the adoption of cutting-edge techniques and methodologies within the team.
Architect and develop robust, scalable, and efficient systems and code bases for deploying AI models into production environments, ensuring high availability and performance.
Serve as a key technical advisor to our internal Lines-of-Businesses, understanding complex needs, gathering requirements, and translating them into impactful, actionable AI solutions.
Define and oversee the evaluation and validation frameworks for AI models, ensuring their accuracy, reliability, fairness, and performance exceed business requirements.
Mentor and guide junior engineers on best practices in AI development, model implementation, and system design.

Bachelor's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required.
Master’s or PhD degree in a relevant field (e.g., Computer Science, AI, Machine Learning) strongly preferred.
5+ years of relevant work experience in analytics, technology, software engineering, or healthcare (academic experience included), or related equivalent experience.
3+ years of hands-on experience specifically with machine learning, deep learning, and preferably AI models (e.g., LLMs, diffusion models) is required.
Proven experience handling large, complex datasets to build and optimize sophisticated data science pipelines.
Deep experience with Machine Learning, Deep Learning frameworks (e.g., Pytorch, TensorFlow), Natural Language Processing (NLP), and associated libraries (e.g., Hugging Face Transformers).
Experience deploying and managing ML models in cloud environments (GCP Vertex AI preferred, AWS SageMaker or Azure ML acceptable).
Expert proficiency in Python and relevant data science/ML libraries.
Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint).

Senior AI Engineer

Key skills