Principal Applied AI Engineer, Agentic AI

MultiPlan; McLean (VA); On-site; USD 190,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan

Performance bonus

Job summary

Claritev seeks a Principal AI Engineer to lead design, development, and production deployment of advanced AI systems powering our healthcare products. You will architect and deliver predictive, generative, and agentic AI that automates complex workflows and unlocks insights from large-scale healthcare data.

You will partner with Product, Engineering, AI Science, and business leaders to translate needs into production-ready AI solutions.

Qualifications

• 10+ years hands-on software/AI engineering.
• 5+ years delivering production-grade ML/AI systems.
• 3+ years building generative AI, LLMs, RAG, or agentic AI systems.
• Demonstrated experience leading complex technical initiatives from concept to production.

Responsibilities

• Lead architecture, development, deployment, and operation of production AI applications, services, and platforms.
• Design agentic AI systems with tool integration, orchestration, memory, retrieval, and human-in-the-loop controls.
• Build RAG and knowledge-retrieval pipelines using embeddings and vector databases.
• Establish reusable frameworks, APIs, code components, and engineering patterns for scalable AI solutions.
• Partner with Product and stakeholders to define technical approaches, success metrics, and delivery plans.
• Drive end-to-end delivery from prototype through production with enterprise integration, monitoring, and improvement.
• Establish AI/ML quality standards including evaluation, reliability, latency, cost, safety, and model performance.
• Ensure secure and responsible use of AI, privacy, PHI/PII protection, explainability, auditability, and HIPAA compliance.
• Mentor engineers and data scientists, promoting technical excellence and pragmatic innovation.

Skills

Python

Distributed systems

ML/AI

LLMs

Agentic AI

MLOps

Cloud

Education

Bachelor's degree in CS/Engineering/Data Science or related

Master's or PhD preferred

Tools

LangGraph

LangChain

AutoGen

CrewAI

PyTorch

TensorFlow

Job description

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 Principal AI Engineer to provide hands‑on technical leadership for the design, development, and production deployment of advanced AI systems powering Claritev's next generation of healthcare products.
• This role is for an experienced engineer who excels at turning AI innovation into reliable, secure, scalable, and measurable production capabilities. You will architect and deliver predictive, generative, and agentic AI systems that automate complex healthcare workflows and unlock insights from large‑scale healthcare data.
• You will partner closely with Product, Engineering, AI Science, and business leaders to translate business needs into production‑ready AI solutions. You will also establish engineering standards, make key architectural decisions, mentor engineers and scientists, and help shape Claritev's AI platform and technical strategy.

JOB ROLES AND RESPONSIBILITIES:

• Lead the architecture, development, deployment, and operation of production AI applications, services, and platforms.
• Design and implement agentic AI systems, including tool integration, orchestration, memory, retrieval, workflow execution, and human‑in‑the‑loop controls.
• Build reliable RAG and knowledge‑retrieval capabilities using embeddings, vector databases, structured data, and enterprise knowledge sources.
• Establish reusable frameworks, APIs, code components, and engineering patterns that enable teams to build and deploy AI solutions efficiently and consistently.
• Partner with Product and business stakeholders to identify high‑value AI opportunities and define technical approaches, success metrics, and delivery plans.
• Drive end‑to‑end delivery from prototype through production, including integration with enterprise systems, monitoring, observability, evaluation, and ongoing improvement.
• Establish standards for AI/ML quality, including offline and online evaluation, reliability, latency, cost, safety, and model performance.
• Ensure secure and responsible use of AI, including privacy, PHI/PII protection, explainability, auditability, and compliance with HIPAA and applicable data‑governance requirements.
• Provide technical leadership across complex, cross‑functional initiatives; influence architecture and engineering decisions beyond an individual project.
• Mentor engineers and data scientists and promote a culture of technical excellence, continuous learning, and pragmatic innovation.

JOB REQUIREMENTS:

Education

• Bachelor's degree in computer science, Engineering, Data Science, a quantitative discipline, or a related field required.
• Master's degree or PhD preferred.

Experience

• 10+ years of hands‑on experience in software engineering, machine learning engineering, applied AI, or a related technical discipline.
• 5+ years of experience designing and delivering production‑grade ML or AI systems.
• 3+ years of experience building with generative AI, LLMs, RAG, and/or agentic AI systems.
• Demonstrated experience leading complex technical initiatives from concept through production deployment and measurable business impact.

Technical Skills

• Strong software engineering skills, including expert‑level Python proficiency and experience designing scalable services, APIs, and distributed systems.
• Strong foundation in machine learning, deep learning, statistics, optimization, and model lifecycle management.
• Experience with agentic AI frameworks and patterns, such as LangGraph, LangChain, AutoGen, CrewAI, or equivalent.
• Experience designing AI agents with tool use, planning, orchestration, memory, and guardrails.
• Experience building RAG pipelines, embeddings, vector search, and retrieval systems.
• Experience developing evaluation and observability capabilities for ML and LLM systems, including accuracy, reliability, safety, latency, and cost.
• Experience with MLOps/LLMOps practices, including CI/CD, model and prompt versioning, monitoring, experimentation, and incident troubleshooting.
• Experience with cloud environments and large‑scale data platforms.
• Experience with deep‑learning frameworks such as PyTorch or TensorFlow.

Other Skills

• Strong problem‑solving, critical‑thinking, communication, and organizational skills.
• Ability to communicate complex technical concepts clearly to technical and non‑technical stakeholders.
• Ability to operate effectively in a fast‑moving, cross‑functional environment.

Preferred Qualifications

• Experience in healthcare, health technology, insurance, claims, payment integrity, or other regulated industries.
• Experience building AI systems that process sensitive data, including PHI or PII.
• Experience with process automation and integration across enterprise workflows and systems.

COMPENSATION:

The base salary range for this position is $190K to $210K. 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.

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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.