Lirio is a technology/software company that provides expertise in a variety of behavioral science domains (e.g., behavioral economics, social psychology, public health), data science, and machine learning to drive consumer engagement, close gaps in preventive and chronic care, and promote health and well-being across an individual’s lifespan. Lirio’s behavior change AI platform unites behavioral science with advanced artificial intelligence (AI) to deliver Precision Nudging health interventions. Precision Nudging is the application of behavioral science to health interventions personalized by AI to each individual that overcome barriers to action at the right time and place for scalable, behavior change. 

This is a remote role with the opportunity to be hybrid if located in Tennessee. All applicants must be authorized to work in the US without sponsorship.

To ensure an excellent onboarding experience and integration into the company, new colleagues will spend their first week onsite at one of our offices in Tennessee. Travel expenses will be paid. This is a requirement. 

This is a contract-to-hire role. The contract period is 3-6 months with conversion dependent on performance.

Position Summary 

The Solutions Architect plays a critical role in designing secure, scalable, cloud-native solutions for Lirio’s platform across both our Lirio-hosted SaaS environment and our customer-hosted deployment model, where the platform may be installed and operated inside a client’s cloud account (for example Azure, AWS, or OCI). This Solutions Architect role is primarily focused on Microsoft ecosystem integrations, including Azure, Power Platform, Dynamics 365 and Dataverse, and Copilot-enabled experiences. As needed, the Solutions Architect also supports other customer ecosystems based on company priorities. 

This is primarily an internal architecture role, partnering with Product, Engineering, Cloud, Data, AI, and Behavioral Science teams to translate product and client requirements into actionable system, integration, and data designs aligned with Lirio’s architecture standards and technical strategy. The role is also client-capable when needed, supporting Sales and Customer Delivery in technical discovery, integration feasibility reviews, and enterprise architecture conversations. 

A key responsibility is defining clear integration boundaries between Lirio and customer ecosystems, including system-of-record decisions, data ownership, and stable integration contracts that meet latency, scale, reliability, and compliance requirements. The role designs the agentic layer of the Lirio solution, including AI-centered workflows, services, and interoperability, and is both architectural and hands-on. The Solutions Architect contributes to Lirio’s Architecture Team, shapes work before it enters delivery, produces design artifacts, and builds prototypes or reference integrations to validate patterns, accelerate implementation, and reduce customer-by-customer variability. 

Essential Duties & Responsibilities 

Solution Design & Architecture 

• Architect scalable, secure, cloud-native solutions for Lirio’s agentic behavioral science and AI platform, supporting both SaaS (Lirio-hosted) and customer-hosted deployments in client cloud environments.
• Architect agentic solutions and workflows, leveraging cloud-native AI services (e.g., Azure AI services/Foundry) and interoperability standards such as Model Context Protocol.
• Translate business, clinical, behavioral science, and client requirements into clear architecture and integration designs.
• Produce high-level and low-level design documents, including architecture diagrams, data and sequence flows, and technical specifications.
• Ensure all solution designs align with Lirio’s platform strategy, architectural principles, and engineering standards.
• Contribute to architectural decision records (ADRs) and collaborate with the Architecture Team on platform evolution. 

Systems Integration & Messaging Architecture 

• Design and guide integrations with the Microsoft ecosystem, including Microsoft Dynamics 365 (e.g., Customer Insights – Journeys and Dataverse) and Azure data and AI services.
• Define and document integration boundaries between Lirio and the Microsoft ecosystem, including system-of-record decisions, data ownership, and stable integration contracts.
• Establish repeatable Microsoft integration patterns that embed Lirio capabilities into existing customer workflows (rather than duplicating the customer’s system of work).
• Design Microsoft ecosystem integrations that are reliable at scale, including rate limiting strategies, retries/backoff, batching, and idempotent processing for event- and API-driven workflows.