AI Scientist Senior II

About the role

Join our Cause to create a person-focused and economically sustainable health care system. As a Senior II AI Scientist, you will serve as a technical leader and strategic advisor, driving innovation across multiple business areas such as clinical care delivery, customer experience, and payment integrity.

Responsibilities

• Lead the design and architecture of complex, multi-component AI systems that solve strategic business problems, while defining technical standards, best practices, and design patterns for AI development across the team.
• Evaluate and recommend new AI technologies, frameworks, and methodologies for adoption, serving as the technical authority on AI/ML topics.
• Drive innovation by researching and prototyping cutting-edge AI techniques applicable to healthcare challenges, and lead technical design reviews to ensure high-quality solutions.
• Research and design novel AI solutions using state-of-the-art generative AI, machine learning, and deep learning techniques to handle complex, real-world healthcare data challenges.
• Create reusable components, libraries, and frameworks that accelerate AI development, and lead the development of production grade AI systems with robust monitoring, governance, and maintenance strategies.
• Partner with business leaders to identify high-impact AI opportunities and translate ambiguous business challenges into well-defined AI problems with clear success criteria.
• Design comprehensive experimentation strategies including A/B testing, causal inference, and statistical validation.
• Proactively identify risks, biases, and ethical considerations in AI solutions and develop mitigation strategies, while quantifying and communicating business impact and ROI to executive stakeholders.
• Design and optimize complex data pipelines for model training, evaluation, and serving, while developing advanced feature engineering strategies that unlock model performance.
• Build scalable, maintainable AI systems using modern MLOps practices and cloud infrastructure, with comprehensive monitoring and observability for production systems.
• Ensure data quality, governance, and compliance with healthcare regulations (HIPAA, etc.).
• Mentor junior and mid-level AI Scientists, providing technical guidance and career development support through code reviews and constructive feedback.
• Lead knowledge-sharing sessions, workshops, and technical presentations, while contributing to hiring and onboarding processes.
• Foster a culture of continuous learning, experimentation, and technical excellence.

Requirements

The AI Scientist Sr II would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically at least 12 years of related work experience. Equivalent combination of education and experience will be considered.

Skills and Attributes

• Technical Leadership & Strategy: Recognized expert in generative AI, machine learning, and data science with ability to architect complex, novel solutions and define technical vision aligned with business strategy.
• Advanced Technical Expertise: Mastery of advanced AI/ML techniques with ability to innovate beyond existing patterns, combined with expert-level Python programming and strong software engineering principles (design patterns, testing, CI/CD).
• Deep expertise in working with complex, real-world data challenges (noisy, high-dimensional, sparse, imbalanced, biased) across multiple data domains (e.g., claims, clinical, member engagement).
• Deep expertise in multiple AI modeling techniques with ability to select and combine methods innovatively, design scalable architectures for offline and online systems, and implement MLOps, model governance, and responsible AI practices.
• Advanced SQL and data engineering skills, including optimization of complex queries and data pipeline design.
• Problem Solving & Innovation: Ability to tackle ambiguous, ill-defined problems and structure them into actionable AI initiatives that create measurable business value, proactive identification of AI opportunities for strategic advantage, with ability to anticipate technical risks, design mitigation strategies, and conduct research and experimentation including A/B testing and causal inference.
• Leadership & Collaboration: Proven ability to mentor and develop junior AI Scientists while establishing and evangelizing best practices, coding standards, and technical processes, strong leadership presence with ability to influence technical decisions across the organization, lead cross-functional teams, manage stakeholder relationships, and build productive partnerships across departments, excellent communication skills with ability to present complex technical concepts to audiences ranging from technical teams to C-level executives.
• Business Acumen: Strong ability to translate business strategy into AI opportunities and technical requirements, quantify business impact and ROI of AI initiatives, and balance technical excellence with pragmatic business delivery, understanding of healthcare payer operations, regulations, and industry trends.
• Core Knowledge: Generative AI Foundation Models & Architectures, Advanced Fine-tuning & Prompt Engineering, RAG & Agent Systems, Evaluation, Alignment & Production, Multimodal & Responsible AI, Advanced Algorithms & Methods, Advanced Optimization & Evaluation, Advanced Deep Learning Architectures & Optimization, Regularization & Specialized Domains, Model Compression, Advanced Mathematical Foundations, Advanced Data & Software Engineering, Advanced Frameworks & Tools.

Qualifications

The AI Scientist Sr II would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically at least 12 years of related work experience. Equivalent combination of education and experience will be considered.