Applied Artificial Intelligence Scientist III

Location:

Los Angeles, CA, 90017

Position Type:
Full Time

Requisition

Salary Range: $ (Min.) - $ (Mid.) - $ (Max.)

Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low‑income Los Angeles County residents. We are the nation’s largest publicly operated health plan, serving more than 2 million members and ensuring members receive the right care at the right place at the right time.

Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County’s vulnerable and low‑income communities and residents and to support the safety net required to achieve that purpose.

The Applied Artificial Intelligence (AI) Scientist III is a subject matter expert, hands‑on practitioner who designs, builds, and implements advanced AI and machine learning (ML) solutions that directly enable the organization to execute its strategic priorities. This role combines deep technical expertise with healthcare domain knowledge to deliver scalable, production‑grade AI applications that improve quality, reduce administrative waste, and enhance member outcomes.

The Applied AI Scientist III independently leads complex projects from ideation through operational deployment, working across data, technology, and business teams to develop models and algorithms that power key functions such as claims accuracy, care coordination, quality improvement, and fraud detection. This position is highly collaborative, frequently partnering with leaders across departments to understand business needs and translate them into AI‑driven capabilities that deliver measurable value.

The Applied AI Scientist III serves as a mentor and role model for staff, promoting best practices in model design, documentation, version control, and interpretability. The position is central to advancing the organization’s AI maturity—driving both innovation and execution within an applied, results‑oriented framework.

Design, train, validate, and deploy complex AI and ML models to address enterprise use cases across departments such as Health Services, Payment Integrity, Quality Improvement, Finance, and Provider Network Management.

Lead all phases of the AI solution lifecycle – from problem framing and data engineering through model design, validation, and operational integration.

Implement production‑grade ML pipelines using modern MLOps practices, ensuring scalability, reproducibility, and continuous model performance monitoring.

Serve as a subject matter expert in responsible and explainable AI, ensuring model fairness, transparency, and compliance with regulatory and ethical standards.

Partner with business and technology leaders to identify and prioritize new AI use cases that align with the organization’s transformation strategy.

Translate business challenges into well‑structured analytical problems and lead cross‑functional teams through data discovery, feature engineering, and algorithm development.

Work directly with cloud‑based data and AI platforms (e.g., Snowflake, Azure ML, Databricks) to operationalize model delivery and integration with enterprise data assets.

Mentor and coach staff, providing technical guidance, code reviews, and knowledge sharing.

Document all model design assumptions, data sources, evaluation metrics, and deployment protocols for transparency and reproducibility.

Communicate complex technical results in accessible, actionable ways for both executive and operational stakeholders.

Contribute to the development of reusable AI assets, libraries, and standardized templates to accelerate future model development.

Remain current on emerging AI/ML technologies, frameworks, and healthcare analytics applications, and advise leadership on adoption opportunities.

Apply subject matter expertise in evaluating business operations and processes. Identify areas where technical solutions would improve business performance. Consult across business operations, provide mentorship, and contribute specialized knowledge. Ensure that the facts and details are correct so that the program’s deliverable meets the needs of the department,…