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.
- Establish lifecycle and governance practices for Power Platform assets involved in Lirio integrations (environments, solutions, deployment approach, and guardrails) to support repeatable customer onboarding and upgrades.
- Design agent and workflow integration patterns so Copilot- and Dynamics-enabled experiences can securely invoke Lirio services through well-defined actions/connectors and response contracts.
- Define consent, preference, and subscription management integration patterns across systems to ensure consistent and compliant behavior across channels and customer ecosystems.
- Define and support event-driven and asynchronous integration architectures using technologies such as Kafka.
- Define patterns for multi-channel engagement workflows across SMS, email, push, portal messaging, and other channels, including provider integration considerations (e.g., Twilio, Mailgun, or similar services).
- Contribute to the modernization and expansion of Lirio’s messaging and engagement capabilities, including replacement or consolidation of legacy vendor components.
Secondary Ecosystem Integrations (as needed)
- Support integrations with other strategic platforms and ecosystems as needed based on company priorities, including (but not limited to) Epic (EHR, MyChart, Cheers), Adobe Experience Manager (AEM), Oracle OCI and Oracle data services, and Oracle Health EHR and applications.
Cloud, Data, & Security Architecture
- Design evaluation, guardrail, and traceability mechanisms for AI-assisted decisions (e.g., bias detection, cost containment, auditability), including recording relevant inputs, versions, and outcomes to support compliance, debugging, and continuous improvement.
- Collaborate with Cloud Engineering to design secure multi-cloud environments, including VNet/VPC design, private endpoints, hybrid connectivity, and Kubernetes-based workloads.
- Design secure identity and access patterns using Microsoft Entra ID to enable integrations between Lirio and customer Microsoft environments (including cross-tenant access where required).
- Work with Data Engineering to design ingestion and transformation pipelines across platforms such as Snowflake, Databricks, Postgres, and streaming data sources.
- Select data access and synchronization approaches appropriate to the workload (real-time decisioning vs analytics), choosing between direct access, caching, replication, and event-driven synchronization.
- Ensure solutions follow data governance principles, privacy-by-design, and regulatory requirements, including HIPAA and the protection of PHI.
- Identify architectural risks across cloud, data, and integration boundaries.
- Ensure solutions support reliability, scalability, observability, auditability, and operational excellence.
Engineering Support & Technical Leadership
- Provide architectural guidance and technical support to engineering teams during implementation.
- Participate in design and code reviews to ensure adherence to architectural patterns, performance, and security standards.
- Build prototypes, reference integrations, or proof-of-concept solutions to validate design decisions and de-risk complex implementations.
- Evaluate existing systems and propose improvements or replacements.
- Promote AI-assisted engineering tools and modern development practices consistent with Lirio’s engineering culture.
- Document architectural decisions, patterns, and best practices for future reference.
Architecture Team & Cross-Functional Collaboration
- Serve as a contributing member of Lirio’s Architecture Team, helping to maintain architectural coherence and platform quality.
- Partner with Product Management to shape solution approaches before work enters development planning and execution.
- Work closely with Cloud, Data, AI/ML, Behavioral Science, and Engineering teams to ensure solutions support personalization, scalability, and measurable outcomes.
- Participate in the Engineering Council, helping to define and uphold engineering standards, patterns, and technical governance.
Client Collaboration (Occasional Client-Facing Responsibilities)
- Participate in selected client technical calls, architectural reviews, and integration planning sessions as needed.
- Support Sales and Customer Delivery teams with technical feasibility assessments, solution recommendations, and architectural input during pre-sales and onboarding.
- Work with client cloud, data, and security teams to design integrations and ensure reliable interoperability with Lirio’s platform.
Position Requirements
- 10+ years of related experience
- Experience designing distributed, cloud-native systems in SaaS or large-scale enterprise environments.
- Experience designing agentic products and workflows where the product is a component in a larger Agent ecosystem.
- Experience working closely with cross-functional technical and product teams.
- Healthcare or other regulated industry experience preferred.
- Expert knowledge of software architecture and the Azure ecosystem
- Dynamics 365 (including Customer Insights – Journeys) and Dataverse
- Dataverse integration architecture (data model familiarity, Web API integration patterns, incremental synchronization approaches, and reliability-at-scale practices such as batching/retries/caching/idempotency)
- Power Platform delivery and governance (solutions, environment strategy, lifecycle/deployment practices, and enterprise guardrails including DLP)
- Copilot and agent integration patterns (designing secure actions/connectors/tools that invoke external services and return structured outputs)
- Microsoft Entra ID security patterns (app registrations, least-privilege design, cross-tenant access where required, and secure service-to-service identity patterns)
- Key management / secrets patterns (Key Vault / managed identity)
- Azure integration services for event- and API-driven designs (Service Bus, Event Grid/Event Hubs, Functions/Logic Apps, API Management)
- Azure data and analytics architecture (Fabric/OneLake, ADLS Gen2, Synapse-style approaches, Data Factory-style orchestration, event-driven ingestion)
- Experience with enterprise Azure data stores including SQL Server/Azure SQL and Cosmos DB
- Working knowledge of Databricks and/or Snowflake integration in Azure-centric environments
- Azure AI and modern LLM application patterns (Azure OpenAI, retrieval/search augmentation with Azure AI Search, evaluation/guardrails concepts)
- Proficiency with Kubernetes, containers, and cloud networking (VNet/VPC, private endpoints, hybrid connectivity)
- Experience with event-driven architecture and messaging systems such as Kafka
- Proficiency in Java, Python, and/or .NET
- Experience designing secure multi-tenant and/or customer-hosted deployments
- Experience with observability patterns across Azure and Kubernetes (e.g., Azure Monitor/Application Insights/Log Analytics or equivalent)
- Experience with AI-assisted developer tools and workflows
Preferred Qualifications
- Bachelor's degree in related field
- Experience integrating with Epic EHR, MyChart, or Cheers
- Experience integrating with Adobe Experience Manager (AEM) or similar digital experience platforms
- Experience with Oracle OCI, Oracle data platforms, or Oracle Health EHR and applications
- Experience integrating with messaging providers such as Twilio, Mailgun, or similar services
- Multi-cloud exposure (AWS and/or OCI), especially when supporting customer-hosted deployments
- Microsoft Teams and/or Microsoft Graph integration patterns
- Certifications: Azure Solutions Architect, SAFe® for Architects, or other cloud, security, or enterprise architecture certifications
- Familiarity with modern enterprise architecture frameworks (e.g., TOGAF used pragmatically) is a plus
Benefits (Available Upon Conversion After Contract Period)
- Medical (HSA available)
- Dental
- Vision
- Short-term & long-term disability (company-paid)
- Life & AD&D (company-paid)
- 401K with company match
- 10 paid holidays, quarterly company closure dates, + holiday week company closure
- Flexible time off policy
- Work from home
- 6 weeks paid parental leave
- Salary range: $175k+, commensurate with experience upon conversion. Pay will be hourly during the contract period.