About the Role
We are seeking a Principal Applied AI Scientist to lead the research, development, and deployment of advanced machine learning and AI systems that power Claritev’s next generation of healthcare products. This is a hands-on technical leadership role for an experienced applied scientist who thrives at the intersection of research innovation, real-world deployment, and measurable business impact. You will architect and deliver predictive, generative, and agentic AI systems that automate complex healthcare workflows and unlock new insights from large-scale healthcare data.
In this role, you will work closely with Product, Engineering, and business leaders to translate cutting-edge research into scalable production solutions that improve transparency, reduce costs, and simplify healthcare operations. You will also serve as a technical thought leader and mentor, helping shape Claritev’s AI strategy and elevating the scientific rigor and innovation of the organization.
Key Responsibilities
- AI & Machine Learning Leadership: Lead the research, design, and deployment of machine learning and AI systems in production environments. Architect predictive, generative, and optimization models that drive healthcare cost reduction, transparency, and operational efficiency. Develop advanced analytics, forecasting, and decision-support models that improve customer and client outcomes.
- Innovation & Applied Research: Research and evaluate emerging AI technologies, foundation models, and agentic systems to identify opportunities for new products and capabilities. Design and implement novel machine learning and optimization methodologies tailored to complex healthcare data and workflows. Drive experimentation and rapid prototyping to accelerate innovation and product development.
- Product & Business Impact: Partner with Product, Engineering, and business stakeholders to translate AI capabilities into scalable solutions. Identify opportunities to leverage Claritev’s data assets to create new AI-driven products, insights, and automation capabilities. Collaborate directly with clients to gather feedback and ensure solutions deliver measurable value.
- Engineering & Production Excellence: Write high-quality, scalable, and production-ready code. Work closely with Engineering and DevOps teams to deploy and maintain models in production systems. Develop monitoring frameworks to ensure model performance, reliability, and data quality over time.
- Collaboration & Mentorship: Serve as a technical mentor and leader for applied scientists and data scientists. Foster a culture of scientific rigor, experimentation, and knowledge sharing. Collaborate across disciplines including product management, engineering, analytics, and operations.
- Governance & Compliance: Ensure compliance with HIPAA and healthcare data privacy regulations. Implement responsible AI practices including model validation, monitoring, and risk management.
Job Requirements
Basic Qualifications
- Ph.D. or M.S. in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
- 6+ years of hands-on industry experience in applied ML / AI, with a track record of delivering solutions from prototype to production.
- 2+ years of experience with Generative AI and/or agentic systems.
Preferred Qualifications
- Experience in healthcare or other regulated environments.
- Familiarity with ML Ops / LLM Ops practices.
- Experience integrating predictive ML with generative/agentic systems.
- Proficiency with AI coding tools (e.g., Copilot, Codex).
Technical Expertise
- Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Experience with:
- Agentic frameworks (e.g., LangChain, LangGraph, Autogen, crewAI).
- RAG pipelines, embeddings, and retrieval systems.
- Agent design (tool use, planning, memory, orchestration).
- Experience building evaluation pipelines for ML/LLM systems (accuracy, reliability, latency).
- Strong foundation in ML theory, deep learning, statistics, and optimization.
- Experience with cloud environments and large-scale data systems.
Leadership & Impact
- Strong product mindset, aligning technical work with business outcomes.
- Ability to drive projects end-to-end with minimal oversight.
- Excellent communication and collaboration skills.
- Proven ability to influence cross-functional teams and mentor others.