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.
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 build 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
Claritev’s Global Total Rewards Philosophy — My Total Value — Is Grounded In Investing In Our Associates And Rewarding Performance. This Includes
- 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.