Applied AI Scientist, Agentic AI

Claritev•New York, NY

About The Position

At Claritev, our mission is to simplify healthcare workflows, improve transparency, and bend the healthcare cost curve. We believe that data, technology, and AI can fundamentally transform how healthcare operates by automating complex workflows, improving decision-making, and reducing unnecessary costs across the system. By combining deep healthcare expertise with advanced analytics and AI, we help payers, providers, and employers operate more efficiently and deliver better outcomes for the people they serve. We are bold in our thinking, rigorous in execution, and committed to service excellence for every stakeholder. Our culture values innovation, accountability, diversity of thought, and collaboration. Join us as we accelerate our transformation into a leading technology and AI-driven company shaping the future of healthcare. JOB SUMMARY: We are seeking an 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 role ideal for an early-career scientist who is excited to apply machine learning and AI to real-world problems. You will work closely with senior scientists, engineers, and product teams to build, test, and deploy models that improve healthcare workflows, enhance decision-making, and reduce costs. In this role, you will contribute to the design and implementation of predictive and generative AI solutions while developing your technical skills and gaining experience working with large-scale healthcare data in production environments.

Requirements

B.S, M.S., or Ph.D. in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
0-3 years of hands-on industry experience applying Machine Learning (ML), Predictive Modeling, or Generative/Agentic AI in industry, with a proven track record of delivering solutions from prototype to production.
0-1 year of hands-on experience with Generative AI and agent development.
Proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and agentic frameworks (e.g. LangChain, LangGraph, Autogen, crewAI, n8n).
Familiarity in designing and implementing RAG pipelines, and integrating planning, memory, tools, MCP, and A2A protocol for agent workflows.
Familiarity 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 problem-solving skills and willingness to learn.
Good communication and collaboration skills.

Nice To Haves

Healthcare or health services experience is a plus

Responsibilities

Assist in the development, testing, and deployment of machine learning and AI models.
Support the implementation of predictive, generative, and optimization models for healthcare use cases.
Contribute to data preprocessing, feature engineering, and model evaluation.
Conduct experiments and analyze results to improve model performance.
Assist in evaluating new AI techniques, including generative AI and agent-based systems.
Participate in prototyping and testing new approaches under guidance from senior team members.
Collaborate with Product and Engineering teams to help translate business requirements into technical solutions.
Support the development of AI-driven features and insights for healthcare applications.
Contribute to documenting results and communicating findings to stakeholders.
Write clean, maintainable, and well-documented code.
Assist in deploying models and supporting production systems.
Help monitor model performance and data quality over time.
Work closely with applied scientists, data scientists, engineers, and product managers.
Actively seek feedback and continuously improve technical and domain knowledge.
Contribute to a collaborative and knowledge-sharing team environment.
Follow best practices for data privacy, security, and responsible AI.
Support model validation and documentation efforts.

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
WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional 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, unless the laws of the state in which the employee is located provide for more generous sick time benefits.