Solutions Engineer (AI) - Remote Eligible

Solutions Engineer (AI)

At AssistRx, we combine AI technology and human insight to simplify patient access and drive better health outcomes. You'll join a team where innovation and precision meet purpose—empowering healthcare organizations to make data smarter and more actionable.

AssistRx is seeking a highly skilled Solutions Engineer (AI) to serve as the technical bridge between our clients and our AI-driven data engineering team. This role combines data analytics, client consulting, and solution design to ensure that our AI augmentation products are effectively implemented, optimized, and adopted.

The ideal candidate has deep experience working with SQL, CRM ecosystems (especially Salesforce), and data integrations in healthcare. You will own technical discovery, workflow mapping, data validation, and transformation documentation—ensuring that our AI-enabled solutions deliver measurable client outcomes.

This position requires both technical expertise and strong communication skills—the ability to turn business challenges into elegant, data-driven solutions.

Key Responsibilities

• Lead technical discovery sessions with clients to assess workflows, CRM data (e.g., Salesforce, Veeva), and backend data systems.
• Develop and execute SQL queries and BI reports to explore, validate, and reconcile client data.
• Design and document data mapping between client objects and internal data models, defining transformation and normalization logic.
• Translate client business requirements into clear, actionable technical specifications for engineering teams.
• Review and validate code outputs and workflow logic to ensure alignment with design requirements and data accuracy.
• Produce technical and client-facing documentation explaining data flow, logic, and solution design.
• Provide quality assurance (QA/QC) oversight for data transformations, ensuring completeness, integrity, and reliability.
• Partner with Account Management and Engineering on post-implementation success, addressing issues and identifying enhancement opportunities.
• Support pre-sales and solution scoping activities by analyzing client data readiness and integration feasibility.