We are seeking a VP AI Engineering to lead our AI Engineering organization, responsible for transforming how our organization leverages artificial intelligence from predictive models that improve member outcomes to automation that drives operational efficiency across claims, care management, and utilization review.
Requirements
- Bachelor's degree or additional equivalent work experience
- 10+ years in software or AI/ML engineering, with 5+ years leading multi-team engineering organizations at the senior director or VP level
- Deep understanding of the healthcare payer landscape, including health plan operations, claims processing, utilization management, and care management programs
- 5+ years' hands-on experience building and deploying machine learning or AI systems in production, preferably within a healthcare or regulated industry environment
- Deep proficiency in Python; working knowledge of SQL, Java, or Scala a plus.
- Experience with PyTorch, TensorFlow, Hugging Face and LangChain or similar LLM orchestration frameworks
- Direct experience building and deploying large language models, including fine-tuning, RAG architectures, prompt engineering, and safety/evaluation frameworks in regulated environments
- MLOps & Platform Engineering: Strong hands-on experience with MLflow, Kubeflow, Airflow, or equivalent tools for orchestration, experiment tracking, and model lifecycle management.
- Deep expertise with AWS, Azure, or GCP, including managed AI/ML services (e.g., SageMaker, Azure ML, Vertex AI)
- Familiarity with HL7, FHIR, ICD-10, CPT, and claims data structures; experience working with EHR data, ADT feeds, or clinical NLP a strong plus
- Experience with modern data stack components including data lakes, streaming pipelines (Kafka, Flink), and vector databases
- Proven track record of building and scaling high-performing engineering teams, including hiring, mentoring, and developing senior and staff-level engineers.
Benefits
- Comprehensive benefits
- Income protection benefits: life insurance, short- and long-term disability programs
- Leave programs to support personal circumstances
- Retirement Savings Plan including employer match
- Paid time off, volunteer time off, 10 holidays and 2 well-being days
- Additional voluntary benefits available
- A comprehensive wellness program
