Enterprise AI Engineering Architect

Claritev • New York, NY

1d

About The Position

At Claritev, we are revolutionizing healthcare payments through innovative solutions and data-driven insights. As the Enterprise AI Engineering Architect, you will lead the advancement of our AI engineering and infrastructure capabilities, focusing on platform reliability, scalability, and engineering excellence. You will help build and evolve the foundational AI platform--including model serving, agent frameworks, data connectivity, and secure deployment pipelines--that powers AI agents and applications across the organization.

Your role will involve driving research and development in AI engineering practices, shaping our multi-cloud/OCI architecture, and mentoring junior talent. Join us in transforming the healthcare landscape.

Requirements

• 7+ years of experience in AI/ML engineering, platform engineering, or related software engineering roles
• 3+ years contributing to or leading R&D or infrastructure initiatives
• 2+ years mentoring or guiding junior engineers
• Expertise in building and deploying large-scale AI systems, including model serving, distributed systems, cloud infrastructure, or MLOps
• Proficiency in Python and modern AI/LLM technologies preferred (e.g., model hosting, vector databases, RAG frameworks, Kubernetes, OCI/Azure services)
• Strong understanding of algorithms, systems design, and performance optimization
• Strong problem-solving and critical thinking skills
• Creativity in designing scalable solutions
• Excellent organizational and communication abilities
• Ability to collaborate across engineering, AI, data science, product, and security teams
• Bachelor's degree in Computer Science, Engineering, or a related quantitative/technical field; Master's or PhD preferred.

Responsibilities

• Utilize generative AI and engineering best practices to streamline platform services, tooling, and deployment workflows, enabling faster and more reliable development across teams.
• Build and optimize infrastructure that supports model hosting, vector search, agent frameworks, and secure data access.
• Drive research and development in AI platform engineering--including model serving, retrieval systems, observability, and secure AI gateway patterns--to establish reusable components and best practices.
• Partner with AI, data science, security, and product teams to understand their needs and identify opportunities to strengthen our AI platform, improve reliability, and enable new capabilities.
• Lead initiatives focused on developing, scaling, and hardening AI platform components such as MCP servers, vector databases, agent hosting environments, and multi-cloud model routing.
• Ensure platform-level enforcement of ethical and responsible AI practices, including secure routing, PHI-safe processing, model observability, and compliance guardrails.
• Mentor and develop junior AI engineers, fostering a culture of platform reliability, operational excellence, and ongoing innovation.
• Ensure adherence to HIPAA, SOC 2, and data privacy standards across all AI infrastructure components, including logging, routing, and data storage.

Benefits

• Medical (PPO & HDHP), dental and vision coverage
• Pre-tax Savings Account (FSA & HSA)
• Life & Disability Insurance
• Paid Parental Leave
• 401(k) company match
• Employee Stock Purchase Plan
• Generous Paid Time Off -- accrued based on years of service
• o 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
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level