Solution Engineer, Analytics Products

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes. Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care.

Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long‑term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients. Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer‑centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.

Join our team as the expert you are now and create your future. Join the Clinical Insights team as a Solution Advancement Engineer driving both client-facing analytics product delivery and core AI agent platform development.

In this role, you’ll own healthcare analytics products end-to-end – from data pipeline through client-facing app – while contributing to the Insights Agent (IAA) platform, the team’s primary architectural investment going into 2027.

You’ll work directly with healthcare clients and clinical consultants, translating their feedback into both product decisions and platform architecture.

In this role, you will:

• Own end-to-end delivery of Huron’s Insights applications (e.g., Periop Insights, IP Insights) across active client engagements – from data pipeline and app configuration through client QC, UAT, and sign-off.
• Contribute core engineering to the Insights Agent (IAA) platform – LLM agent loop design, subagent architecture, and structured output/evaluation patterns.
• Build and deploy interactive applications using R (Shiny) and Python, deployed via Posit Connect and the team’s Docker-based mono repo.
• Collaborate directly with healthcare clients and clinical consultants, translating domain requirements (benefit models, OA report structures, clinical workflows) into software.
• Influence platform architecture decisions – this role shapes how the product evolves, not just executes against a spec.
• Mentor other engineers and help drive engineering best practices across a small, high-autonomy team.

• Lead deployment and configuration of Insights applications across multiple concurrent client engagements, managing data translation pipelines, app config, QC, and comparison testing against legacy (e.g., Power BI) reporting.
• Design and build LLM agent capabilities on the IAA platform – subagent patterns, registry/dispatch architecture, and evaluation frameworks (pydantic‑evals).
• Maintain and extend Docker-based mono repo deployment infrastructure, including version tagging, rollback procedures, and CI/CD (Jenkins).
• Work with AWS data lake infrastructure (Athena, S3, RDS) to support client data pipelines.
• Translate UAT feedback and clinical stakeholder input into architectural and UX decisions – this is a product‑ownership role, not a pure feature‑delivery role.
• Drive quality, performance, and delivery speed across multiple simultaneous client engagements in a consulting‑adjacent environment where requirements evolve.

• U.S. work authorization is required.
• Bachelor's degree…