Clinical AI Evaluation Specialist

This role is at the intersection of behavioral healthcare, artificial intelligence, and product quality. As a Clinical AI Evaluation Specialist on CentralReach's AI Governance team, you will be responsible for defining what "good" looks like for CentralReach's AI outputs and enhancing the evaluation and monitoring systems that ensure we continue to meet that standard at scale.

You will design evaluation frameworks, develop and refine automated monitoring approaches (including prompt engineering for evaluation automation), conduct structured reviews of AI-generated content, and serve as a clinical subject matter expert that product and engineering teams work alongside to ensure AI features meet the standards of ABA practice, CentralReach's AI Governance Policy, and the Responsible AI for Behavior Analysis (R.ai.BA) framework.

Key Accountabilities:

• Contribute to evaluation frameworks for clinical AI products, including defining acceptance criteria, test plans, clinically relevant rubrics, and performance benchmarks.

• Conduct structured sampling reviews of AI-generated outputs, assessing across criteria alignment with ABA principles and BACB ethical standards.

• Design and implement monitoring automation in collaboration with engineering, including automated quality checks, alerting thresholds, and drift detection for AI systems.

• Contribute to the creation and maintenance of reusable governance artifacts including system cards, monitoring playbooks, evaluation of SOP templates, and risk assessment documentation.

• Assist with pre-deployment validation testing for new AI products and features, executing defined testing and results of documentation.

• Participate in risk tiering assessments for new and evolving AI products, providing clinical and evaluative perspectives.

• Support incident investigation for AI-related issues if/as needed and in alignment with clinical best practice and CR Development Policy.

• Collaborate with product management and engineering teams to provide input during product planning and development, ensuring governance considerations are integrated early.

• Contribute to the development of evaluation methodology and standards for clinical AI use cases, documenting approaches and refining processes based on findings and emerging best practices.

• Contribute to AI literacy and training content for internal teams and customers, drawing on hands-on clinical evaluation experience.

• Stay current with developments in AI evaluation methodology, LLM behavior, ABA best practices, and relevant regulatory and ethical standards.

• Support CentralReach's thought leadership in responsible AI through contributions to conference presentations, professional publications, or applied research as opportunities arise.

Desired Skills and Experience:

• Board Certified Behavior Analyst (BCBA) in good standing

• 2+ years of demonstrated experience in quality assurance, evaluation, data analysis, or technical assessment roles, preferably within healthcare or behavioral health settings.

• Demonstrated experience with large language models, generative AI, and their applications and limitations in clinical or professional contexts.

• Experience with prompt/context engineering, AI output evaluation, or AI workflow design.

• Experience with statistical sampling methodologies or healthcare quality assurance frameworks.

• Familiarity with AI governance frameworks (NIST AI RMF, EU AI Act risk categories, AMA governance guidance).

• Experience developing evaluation rubrics, scoring frameworks, or quality measurement tools.

• Background in clinical informatics, research methodology, or systematic quality improvement.

• Demonstrated proficiency with data analysis tools and comfort working with quantitative and qualitative evaluation data.

• Strong analytical skills with the ability to develop systematic, evidence-based evaluation approaches.

• Familiarity with HIPAA compliance, healthcare data standards, and ethical considerations in AI.

• Excellent written and verbal communication skills with the ability to document methodology clearly and convey findings to clinical, technical, and leadership audiences.

• Demonstrated ability to work collaboratively across clinical, technical, and product teams.

• Experience in a remote work environment with strong self-direction and accountability.

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