Principal AI Platform Engineer

Claritev Corporation; United States; On-site; USD 190,000 - 210,000; Full time

Job summary

Claritev is seeking a Principal AI Platform Engineer in the United States to lead the design, development, deployment, and operation of foundational AI capabilities powering our next generation healthcare products.

You will partner with Product, Engineering, AI Science, and business leaders to translate needs into production-ready platform capabilities, establish reliability and governance standards, and mentor engineers toward production excellence across cloud architectures and

Qualifications

• 10+ years of hands-on software engineering, platform engineering, or related field.
• 5+ years designing, delivering, and operating production-grade ML/AI or platform systems.
• 3+ years building production solutions with generative AI, LLMs, RAG, or agentic AI.
• Experience leading complex technical initiatives from architecture through production deployment.

Responsibilities

• Own the engineering, deployment, operation, and continuous improvement of production AI platform services.
• Define platform requirements, technical approaches, success metrics, and delivery plans with stakeholders.
• Drive end-to-end production readiness across AI services including deployment, integration, scalability, resilience, fault tolerance, performance, monitoring, incident response, and recovery.
• Establish reusable platform frameworks, APIs, data contracts, code components, and engineering patterns for efficient adoption by product/engineering teams.
• Implement and enforce CI/CD, automated testing, versioning, controlled deployment, rollback, SLOs/SLIs, operational readiness, and production troubleshooting.
• Build observability and monitoring into the platform with tracing, logging, metrics, alerting, and AI quality/cost monitoring.

Skills

Problem-solving

Critical thinking

Communication

Organizational skills

Education

Bachelor's degree

Master’s degree or PhD preferred

Tools

CI/CD

Infrastructure as Code

Monitoring tools

Job description

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.

Why This Role Matters

We are seeking a Principal AI Platform Engineer to provide hands‑on technical leadership for the design, development, deployment, and operation of foundational AI capabilities powering Claritev’s next generation of healthcare products. This role is for an experienced platform engineer with a proven track record of turning AI innovation into reliable, secure, scalable, observable, and governed production services. You will architect and deliver reusable AI capabilities, including document ingestion, RAG and knowledge retrieval, entity extraction, model/LLM services, and agentic workflows, through production, grade micro‑services, APIs, and platform components. You will partner closely with Product, Engineering, AI Science, and business leaders to translate business needs into production, ready platform capabilities. You will establish engineering and operational standards across reliability, evaluation, observability, security, governance, and cloud architecture, while helping shape Claritev’s AI Foundry and technical strategy.

What You'll Do

• Own the engineering, deployment, operation, and continuous improvement of production AI platform services, including scalable microservices, APIs, SDKs, and shared components used across teams.
• Partner with Product, Engineering, AI Science, and business stakeholders to define platform requirements, technical approaches, success metrics, and delivery plans.
• Drive end‑to‑end production readiness across AI services, including cloud deployment, enterprise integration, scalability, resilience, fault tolerance, performance, monitoring, incident response, failure recovery, and ongoing operational support.
• Establish reusable platform frameworks, APIs, data contracts, code components, and engineering patterns that enable product and engineering teams to adopt AI capabilities efficiently and consistently.
• Implement and enforce engineering standards for CI/CD, automated testing, versioning, controlled deployment, rollback, SLOs/SLIs, operational readiness, and production troubleshooting.
• Build observability and monitoring into the platform, including end‑to‑end tracing, logging, metrics, alerting, and monitoring of AI quality, latency, reliability, and cost.
• Establish automated evaluation, benchmarking, regression testing, and production quality gates for foundational AI capabilities such as document parsing, RAG, entity extraction, and agents.
• Embed security and governance into production services, including authentication and authorization, PHI/PII protection, lineage, provenance, auditability, policy enforcement, reproducibility, and applicable HIPAA/data‑governance requirements.
• Build reliable RAG and knowledge‑retrieval capabilities using embeddings, vector and hybrid search, structured data, knowledge graphs, and enterprise knowledge sources.
• Provide hands‑on technical leadership across teams, partner with Product, Engineering, AI Science, and business stakeholders on platform requirements, and influence engineering and architecture decisions while mentoring engineers and promoting production excellence.

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, platform engineering, machine learning engineering, applied AI, or a related technical discipline.
• 5+ years of experience designing, delivering, and operating production‑grade ML, AI, or platform systems.
• 3+ years of experience building production solutions with generative AI, LLMs, RAG, document intelligence, and/or agentic AI systems.
• Demonstrated experience leading complex technical initiatives from architecture through production deployment, operation, and measurable business impact.

Technical Skills

• Production AI & Cloud Engineering: Proven track record designing, shipping, and operating production‑grade AI systems, with expert‑level Python and experience building scalable microservices, APIs, SDKs, and distributed systems on OCI, Azure, AWS, or equivalent cloud platforms.
• AI Foundry & Platform Architecture: Experience building reusable foundational AI capabilities, including document ingestion, RAG, entity extraction, model/LLM services, and agentic workflows, for consumption across multiple engineering and product teams.
• Reliability & Production Operations: Strong experience engineering resilient production systems, including scalability, fault tolerance, retries, idempotency, caching, rate limiting, SLOs/SLIs, incident management, and disaster recovery.
• Observability & Monitoring: Experience implementing end‑to‑end tracing, logging, metrics, alerting, and AI quality, latency, and cost monitoring across models, retrieval, agents, services, and infrastructure.
• AI Evaluation & Quality Engineering: Experience designing and operationalizing automated evaluation and benchmarking frameworks for foundational AI capabilities such as document parsing, RAG, entity extraction, and agents, including gold datasets, quality metrics, regression testing, production monitoring, and release quality gates.
• Security, Governance & Auditability: Experience embedding authentication/authorization, sensitive‑data protection, lineage, provenance, auditability, policy enforcement, and reproducibility into production AI platforms.
• DevOps / LLMOps: Strong experience with CI/CD, automated testing, infrastructure as code, environment management, versioning, controlled deployments, rollback, and production troubleshooting for AI systems.
• RAG, Data & AI Infrastructure: Hands‑on experience with document processing, embeddings, vector/hybrid search, entity extraction, knowledge graphs, structured outputs, and agent orchestration, and the infrastructure required to productionize them.

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 salary range for this position is $190-210k. Actual compensation is based on experience, skills, education, work location, and internal equity. This position may also be eligible for incentive compensation and the comprehensive benefits outlined in the My Total Value section.

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.

My Total Value

Clarivet’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.