Senior Applied AI Scientist

JOB SUMMARY:

We are seeking a Senior 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.

KEY RESPONSIBILITIES:

AI & Machine Learning

• Design, develop, and deploy machine learning and AI models in production environments
• Build predictive, generative, and optimization models to improve healthcare outcomes and operational efficiency
• Improve existing models and systems with measurable impact on performance, scalability, or business metrics

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

• Collaborate cross-functionally with Product Managers, Engineers, Data Scientists, and domain experts
• Contribute to team knowledge sharing, code reviews, and best practices
• Provide guidance and informal mentorship to junior team members where appropriate

Governance & Compliance

• Follow best practices for data privacy, security, and compliance (e.g., HIPAA)
• Support model validation, monitoring, and responsible AI practices

JOB REQUIREMENTS:

• Ph.D. or M.S. in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
• 3-6 years of experience post-MS, or 0-3 years post-PhD applying Machine Learning (ML), Predictive Modeling, or Generative/Agentic AI in industry, with a proven track record of delivering solutions from prototype to production.
• 1-2 years of hands-on experience with Generative AI and agent development.
• Healthcare or health services experience is a plus
• Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and agentic frameworks (e.g. LangChain, LangGraph, Autogen, crewAI, n8n).
• Expertise in designing and implementing RAG pipelines, and integrating planning, memory, tools, MCP, and A2A protocol for agent workflows.
• Experience in building evaluation pipelines for LLM and agent performance, including metrics such as accuracy, reliability, and latency.
• Proficiency in using AI Coding tools like Github Copilot, OpenAI Codex etc.
• Strong foundation in ML theory, including deep learning, statistics, or optimization.
• A product-oriented mindset, with the ability to align applied science work with business objectives and impact.
• Excellent communication and cross-functional collaboration skills.

COMPENSATION:

The salary range for this position is $120K to $150K. Specific compensation offers are determined based on a variety of factors including the candidate's education, experience, skills, work location, and internal equity considerations. In addition to base salary, this position is eligible for an annual performance bonus and a comprehensive benefits package, including health insurance and a 401(k) retirement plan.

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