Senior AI Operations Engineer

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 healthcarefor 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: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! Two Openings!!!

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 .

Requirements: JOB REQUIREMENTS (Education, Experience, and Training):

Must have 7\+ years in Data Science, 3\+ years in R\&D, 2\+ years mentoring/managing junior engineers.

Deep expertise in Kubernetes, CI/CD, LLMOps, and cloud-native architecture. Exposure to taking AI agents from concept to compliance-ready production is preferred.

Strong ML Infra experience with hands-on Terraform/K8s/IaC.

Deep experience with LLMOps, model versioning, and hybrid GPU deployment.

Must have fluency in Python, Bash, and container-native toolchains.

Familiarity with open-weight LLMs (Mistral, Grok, LLaVA, etc.)

Passion for building AI that’s not just powerful, but secure and compliant.

Experience in dealing with Peta Bytes of data.

Strong problem-solving, critical thinking, creativity, organizational, and communication skills.

Preferred Experience : Healthcare and process optimization.

Bachelor's in Quantitative Science; Master's or PhD preferred.

COMPENSATION

The salary range for this position is $170K 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, .

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 – PS1