Remote New

Senior AI Operations Engineer

MultiPlan
United States
Nov 25, 2025
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: Claritev is revolutionizing healthcare payments through innovative solutions and data-driven insights. As the Senior AI Ops Engineer, you will lead the advancement of our AI capabilities, focusing on engineering excellence and leveraging generative AI to enhance our end-to-end operations from experimentation to deployment. Your role will involve driving research and development in analytical techniques, creating new AI-driven products, and mentoring junior talent. With our infrastructure transitioning to Oracle Cloud Infrastructure (OCI), you will play a pivotal role in architecting, optimizing, and scaling AI workloads within OCI's ecosystem. Join us in transforming the healthcare landscape! JOB ROLES AND RESPONSIBILITIES Enhance AI Operations Utilize generative AI to streamline processes and tools, enabling faster and more effective development and deployment. Build scalable GenAI infrastructure with Terraform, Docker, Helm, and Kubernetes (OKE, AKS, and OCI-native services such as OCI Data Science, OCI AI Infrastructure, and OCI Streaming). Architect hybrid AI systems across OCI, Azure, and on-prem GPU clusters, ensuring seamless data and model orchestration. Automate model pipelines (training fine-tuning inference) using Jenkins, GitHub Actions, and MLflow integrated with OCI Object Storage and OCI DevOps. Serve multimodal LLMs with vLLM, Triton, and Streamlit dashboards deployed on OCI Container Engine for Kubernetes (OKE) and optimized for OCI GPUs. Deploy secure RAG-based microservices backed by Vector DBs, Databricks, and OCI AI Services (e.g., Data Labeling, Generative AI APIs) and private LLM gateways. Lead R&D Efforts Drive research and development using generative AI to create reusable code components and establish best practices for OCI-based MLOps and AI infrastructure. Stakeholder Collaboration Partner with stakeholders to identify opportunities for new AI-driven products through data insights, leveraging OCI's data and analytics stack (Autonomous Data Warehouse, Data Flow, Data Integration). Program-Level Initiatives Lead initiatives focused on the initial development of AI-powered products that utilize OCI-native AI and ML services for scalability and compliance. Ethical AI/ML Practices Ensure AI models are transparent, relevant, and ethically used across all environments, maintaining consistency between OCI and multi-cloud systems. Team Management Mentor and develop junior data scientists and engineers, fostering a culture of continuous learning and innovation in OCI and multi-cloud AI engineering. Compliance Ensure adherence to HIPAA regulations and data privacy standards: HIPAA, SOC2, BAA enforcement, and PHI-safe model routing within OCI's secure architecture.