Senior Applied AI Scientist

Claritev; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) with company match

Paid time off

Job summary

Claritev is seeking a Senior Applied AI Scientist to lead the research, development, and deployment of advanced machine learning and AI systems powering Claritev’s healthcare products.

This hands-on technical leadership role bridges research innovation with real-world deployment, delivering predictive, generative, and agentic AI systems to automate workflows, unlock insights from healthcare data, and reduce costs while improving transparency.

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 ML/Predictive Modeling/Generative AI in industry, with a track record of production delivery.
• 1-2 years hands-on experience with Generative AI and agent development.
• Healthcare or health services experience is a plus.
• Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow) and agentic frameworks (LangChain, LangGraph, Autogen, crewAI, n8n).
• Experience in designing RAG pipelines and integrating planning, memory, tools, MCP, and A2A protocols for agent workflows.
• Experience in building evaluation pipelines for LLM and agent performance (accuracy, reliability, latency).
• Proficiency with AI coding tools like Github Copilot and OpenAI Codex.

Responsibilities

• Design, develop, and deploy ML/AI models in production environments.
• Build predictive, generative, and optimization models for healthcare outcomes and operations.
• Improve existing models with measurable performance gains and scalability.
• Research and evaluate emerging AI technologies and foundation models for new products.
• Design and implement ML/optimization methodologies for complex healthcare data.
• Drive rapid prototyping to accelerate innovation and product development.
• Collaborate with Product, Engineering, and business stakeholders to translate AI into scalable solutions.
• Identify opportunities to leverage Claritev data assets for AI-driven products and automation.
• Share feedback with clients to ensure measurable value and impact.
• Write production-ready, scalable code and deploy models with DevOps teams.
• Develop monitoring frameworks for model performance and data quality.

Skills

Python

Deep learning

Generative AI

Agent development

LangChain

LangGraph

Autogen

crewAI

n8n

Education

Ph.D. or M.S. in CS/Statistics/Data Science

Tools

GitHub Copilot

OpenAI Codex

Job description

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.

Job 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

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.

About Us

Why Claritev?

Healthcare is complex. We help make it clearer.

At Claritev, you'll do work that matters. Together, we're helping make healthcare more transparent and affordable for all through the power of data, technology, and expertise. We offer meaningful opportunities to grow your career, collaborate with talented colleagues, and make an impact on the clients and communities we serve. If you're looking for purpose, growth, and a team that succeeds together, you'll find it here.

What Guides Us

At Claritev, innovation, agility, and a focus on results drive our success. We embrace bold thinking, work as one team, take ownership, and strive for excellence in everything we do — creating meaningful impact for our clients, communities, and each other.

About The Team

My Total Value

• Competitive compensation and incentive opportunities (where eligible)
• Medical, dental, and vision coverage
• Life and disability coverage
• 401(k) with company match
• Employee stock purchase plan
• Flexible spending accounts and health savings accounts
• Paid time off and company holidays
• Paid parental leave
• Mental health resources
• Tuition reimbursement
• Financial planning resources
• Professional development opportunities

Our Commitment to Inclusion

At Claritev, we believe diverse perspectives strengthen our teams and lead to better outcomes. We are committed to fostering an inclusive workplace where every associate feels respected, valued, and empowered to succeed.

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, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.