Vice President, AI Models

• Own the SLM pipeline — design and operationalize League’s small-model training and serving platform, including data ingestion, fine-tuning, evaluation, and deployment.
• Develop multiple healthcare-domain SLMs — deliver a portfolio of small, high-efficiency language models (single-digit billions of parameters) optimized for healthcare reasoning and accuracy.
• Lead data strategy — inventory League’s internal data assets; design curation, labeling, and synthetic data generation pipelines aligned with privacy and compliance requirements
• Drive safety and alignment — lead RLHF/RLAIF, enable red-teaming, and collaborate to establish evaluation frameworks to ensure clinical and ethical integrity.
• Define model-serving strategy — evaluate and implement serving architectures to ensure low-latency, cost-efficient deployment.
• Partner across AI leadership — collaborate with our other AI teams and delivery teams to embed models into production agents.
• Build and scale the team — recruit, mentor, and retain a high-caliber model-engineering group.
• Represent League externally — articulate our Responsible AI practices to partners, investors, and industry forums; contribute thought leadership on small-model innovation in healthcare

About You:

• Significant experience in applied ML/AI; Expertise in leading model-training or fine-tuning teams is a strong plus.
• Proven experience shipping fine-tuned or distilled LLMs/SLMs (1–10B parameters).
• Expertise in PEFT, LoRA, quantization, and distillation pipelines.
• Demonstrated success with RLHF/RLAIF, reward modeling, or safety alignment.
• Track record leading data curation and synthetic data generation initiatives.
• Hands-on experience with NeMo, Hugging Face, Axolotl or similar, and serving stacks (vLLM, Triton, or similar).
• Familiarity with Cloud (GCP, Vertex AI, or similar) and bare-metal GPU infrastructure.
• Strong understanding of healthcare data privacy and safety (HIPAA, FHIR, clinical ontologies).
• Exceptional ability to communicate technical strategy to executives, customers, and partners.
• Bachelor’s or graduate degree in Computer Science, Machine Learning, or equivalent experience.

Security-related Responsibilities

• Ensure access management is performed in compliance with the employee's role and responsibilities
• Responsibility and accountability for executing League's policies and procedures within the department/ team
• Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations
• Compliance with Information Security Policies