AI Solutions Architect

Job Description

Role Summary Serve as the technical lead and subject matter expert for an independent assessment of two AI-enabled healthcare-navigation vendors. This role will evaluate how each vendor leverages AI, analytics, and healthcare data to identify signals, predict member needs, generate recommendations, and enable proactive interventions. The ideal candidate brings deep expertise in AI/ML, data architecture, predictive analytics, enterprise integration, and technical vendor diligence. The individual must be able to distinguish marketing claims from demonstrable technical capabilities and communicate findings to both technical and executive audiences.

Key Responsibilities

• Lead technical diligence sessions with vendor AI, data, and engineering teams.
• Evaluate how AI, machine learning, predictive analytics, and automation are used within each solution.
• Distinguish AI-driven intelligence from rules-based workflows, filtering logic, process automation, and human intervention.
• Assess data sources, interoperability, data dependencies, data quality, data freshness, and timeliness of insights.
• Evaluate the quality, completeness, and reliability of data signals used to drive member recommendations and interventions.
• Assess predictive models, recommendation engines, and proactive-intervention capabilities for effectiveness and technical feasibility.
• Review available evidence supporting vendor AI, analytics, and performance claims.
• Evaluate enterprise architecture considerations, including integration patterns, scalability, interoperability, and operational support requirements.
• Assess security, privacy, compliance, and governance considerations related to healthcare and member data.
• Evaluate explainability, transparency, human oversight, and responsible AI practices.
• Identify technical dependencies, implementation risks, architectural limitations, and scalability concerns.
• Translate technical architecture, AI, and data considerations into business implications and implementation risks.
• Provide technical findings and recommendations to support the final assessment and executive readout.

Skills and Requirements

• 10+ years of experience in AI/ML, data architecture, analytics architecture, data science, or enterprise data platforms.
• Experience evaluating enterprise AI platforms, healthcare technology solutions, or third-party AI vendors.
• Strong understanding of data architectures, data pipelines, model inputs/outputs, data governance, and real-time or near-real-time analytics.
• Demonstrated ability to critically evaluate vendor AI claims, technical demonstrations, and solution architectures.
• Familiarity with responsible AI, model explainability, governance frameworks, and human-in-the-loop concepts.
• Experience presenting technical findings and recommendations to executive stakeholders.
• Healthcare, digital-health, payer, provider, benefits, or healthcare-data experience preferred. Experience working with large enterprise clients preferred.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].