[Hiring] Senior Applied AI Scientist @Claritev

Role Description

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.

Qualifications

• 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.

Requirements

• Specific compensation offers are determined based on a variety of factors including the candidate’s education, experience, skills, work location, and internal equity considerations.
• This position is eligible for an annual performance bonus and a comprehensive benefits package, including health insurance and a 401(k) retirement plan.

Benefits

• Medical, dental and vision coverage with low deductible & copay.
• Life insurance.
• Short and long-term disability.
• Paid Parental Leave.
• 401(k) + match.
• Employee Stock Purchase Plan.
• Generous Paid Time Off – accrued based on years of service.
• 10 paid company holidays.
• Tuition reimbursement.
• Flexible Spending Account.
• Employee Assistance Program.
• Sick time benefits – for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year.

EEO Statement

Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status.

Application Deadline

We will generally accept applications for at least 5 calendar days from the posting date or as long as the job remains posted.