Principal AI/ML Engineering Lead

Join our team as a Principal AI/ML Engineering Lead, where you will contribute to the platform build, strengthen DevOps and reliability, partner with Security and IT, lay the groundwork for the AI/ML platform, and keep protected health information inside controlled boundaries. You will work with existing team leads to raise the AI and ML fluency of the platform, security, and DevOps teams. Additional responsibilities may be assigned as needed.

• Contribuer à la construction de la plateforme, y compris l'ingestion de données, la transformation, un modèle de données canonique et la résolution d'entités.
• Renforcer DevOps et la fiabilité, y compris CI/CD, infrastructure en tant que code, gestion des environnements et observabilité.
• Collaborer avec la sécurité et l'informatique pour assurer la classification des données et l'application des contrôles d'accès.

• Solid data engineering: SQL, pipeline tooling such as dbt, and data warehousing
• Bachelor's Degree at a minimum
• 7-10+ years of experience in building and scaling production-grade machine learning or AI systems
• Strong cloud experience, ideally on Google Cloud (Vertex AI, BigQuery, Cloud Run, Pub/Sub, Cloud SQL, GKE), with AWS or Azure equivalents also welcome
• Substantial hands-on experience building and deploying AI/ML systems in production, including MLOps, model serving and inference infrastructure, feature and data pipelines, and integrating models into real applications
• DevOps and reliability skills: CI/CD, Terraform or a similar tool, containers and Kubernetes, and production observability
• Demonstrated experience as a generalist Software Engineer across backend, infrastructure, and data
• A security mindset and comfort working in a regulated environment with sensitive data. Familiarity with HIPAA or HITRUST is a plus
• Comfortable with ambiguity and a bias for shipping. You can go deep in one area and still move fluidly across the stack
• Experience with LLM applications, including retrieval, evaluation, guardrails, and knowledge graphs
• Experience with privacy enhancing technologies
• Experience with GraphQL or a federated serving layer
• Experience in healthcare or another regulated data domain
• Experience with entity resolution or master data management