AI Engineer

• Lead the design, engineering, delivery, and operation of the machine-learning and conversational AI platform powering automated patient and customer interactions
• Define AI/ML engineering strategy, standards, and roadmaps
• Direct teams building data and feature pipelines, training and evaluating models, and productionizing conversational AI services
• Establish the AI/ML engineering vision, operating model, and technical standards for coding, testing, security, and observability
• Translate product and business roadmaps into multi-quarter engineering plans, milestones, staffing models, and budgets
• Direct development across data ingestion, feature computation, labeling, training, evaluation, packaging, deployment, and inference
• Implement model lifecycle management and governance, including reproducibility, experiment tracking, versioning, approvals, and rollback
• Build and scale feature stores, model registries, and training/inference platforms while optimizing cost, latency, throughput, and reliability SLAs
• Collaborate with Product, Risk, Legal, and Compliance to document model intent, limitations, and human-in-the-loop mechanisms and prepare HIPAA audit artifacts
• Lead incident response for model and service regressions
• Mentor staff and develop hiring and career paths for AI/ML engineering roles
• Perform other duties as assigned
• Comply with all policies and standards
• Remain knowledgeable about applicable laws, standards, and regulatory requirements and ensure compliance

Explore AI Engineering Lead at Ochsner Health. Review requirements and application details.