Senior Applied AI Scientist
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 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
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.
BENEFITS
We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities.
Your benefits will include:
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
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. If you would like more information on your EEO rights under the law, please click here.
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.
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apply to this job
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 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
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.
BENEFITS
We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities.
Your benefits will include:
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
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. If you would like more information on your EEO rights under the law, please click here.
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.
#LI-MZ1
apply to this job