Senior AI Scientist (AI Agents)

At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple – we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders – internal and external – driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.

Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!

JOB SUMMARY:

We are building the next generation of AI-driven solutions to transform healthcare and beyond. We are seeking Senior Applied Scientist to join our Agent Foundation team. This team builds the foundational agentic systems that power downstream business applications. You’ll work at the intersection of applied ML research and system design, developing intelligent, reliable, and business-driven agents that make a tangible impact.
This role requires strong software engineering and system design skills, that are essential to build working, production-grade agents. If you’re excited by the challenge of building practical AI systems using LLMs, agent frameworks, vector databases, tools, MCP and so on, we’d love to hear from you.

Job Roles and Responsibilities:

The Senior Applied Scientist – Agent Foundation Team is responsible for designing, developing, and deploying agentic AI systems that power downstream use cases. This role blends applied AI Agent research, system design, and hands-on coding to create scalable agent workflows. Acting as a “product scientist for agents,” the Senior Applied Scientist ensures that new techniques and experiments translate into production-grade capabilities. They will collaborate with engineering, product, and business stakeholders to deliver solutions that are both scientifically rigorous and practically impactful.

1. Research, design, and implement agentic workflows and LLM-driven systems tailored to business use cases.
2. Apply deep expertise in machine learning, deep learning, and LLMs/ SLMs to advance core agent capabilities.
3. Design system architectures for agent workflows (multi-step reasoning, tool use, memory, external integrations).
4. Build prototypes and pipelines using modern agent frameworks (LangChain-Langgraph, LlamaIndex, Autogen, Agno, n8n etc.).
5. Collaborate with product managers and engineers to scope problems, align with business goals, and define measurable outcomes.
6. Develop experimental designs, evaluation harnesses, and monitoring methods to measure agent reliability, latency, and quality.
7. Translate ambiguous business needs into structured scientific investigations and deliver data-driven insights.
8. Author high-quality, production-leaning code that demonstrates both scientific rigor and software reliability.
9. Stay current with advances in generative AI, LLMOps, and agentic architectures, applying them to solve practical challenges.
10. Be excited about using Gen AI tools like AI coding agents to build AI applications
11. Mentor peers in applied science best practices, experimentation, and evaluation.
12. Ensure compliance with HIPAA regulations and requirements when handling sensitive healthcare data.
13. Demonstrate Company’s Core Competencies and values held within.

Qualifications

JOB REQUIREMENTS (Education, Experience, and Training):

• 4–6 years applied AI/ML science experience with production impact.
• 1-2 years of applied Gen AI and Agent building experience.
• Strong system design expertise in architecting agentic workflows (reasoning, tool use, orchestration, memory).
• Proficiency in Python, Agent Frameworks (Langchain-Laggraph, Autogen, Agno, n8n etc.) , SQL and strong software engineering practices.
• Proficiency in RAG (Retrieval Augmented Generation) pipelines, and integrating RAG, memory, tools, MCP (Model Context Protocol) etc. for agent workflows.
• Solid foundation in ML theory: optimization, statistics, probability, deep learning.
• Experience building evaluation pipelines for LLM/agent performance (accuracy, reliability, latency).
• Familiarity with LLMOps practices (prompt engineering, retrieval augmentation, fine-tuning, monitoring).
• Product mindset — ability to align applied science work with business value.
• Proficiency in using AI Coding agents like Github Copilot, OpenAI Codex etc.
• Excellent communication and cross-functional collaboration skills.
• Master’s degree in Computer Science, Machine Learning, Data Science, or related field; Ph.D. preferred.

COMPENSATION

The salary range for this position is $160K to $180K. Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity.

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 – VG1