US- Solution Engineer (Technical Services)

PointClickCare is evolving its Technical Services team to build intelligent systems that streamline processes and improve customer implementations. The Solutions Engineer will design and implement AI-enabled workflows to enhance data accuracy and facilitate customer onboarding across the healthcare SaaS platform.

Responsibilities:

• Design and implement database-driven operational workflows that automate data transformation, validation, and configuration processes
• Integrate LLM or AI services into structured workflows where appropriate, enabling autonomous processes that can be triggered, executed, logged, and monitored reliably
• Partner with solution architects to convert technical designs into scalable, maintainable implementations
• Establish structured data contracts and schemas to ensure clarity and consistency across systems
• Implement appropriate guardrails, logging, monitoring, and observability practices to support operational stability
• Ensure workflows meet security, compliance, and production-readiness standards prior to deployment
• Leverage Microsoft Azure services (Functions, App Services, Logic Apps, Azure AI) to design solutions that are modular, version-controlled, and CI/CD enabled for continuous improvement
• Integrate LLMs into structured database workflows and support retrieval-based (RAG) patterns
• Implement evaluation and monitoring loops to ensure intelligent services improve execution quality without adding noise

Requirements:

• 2–5+ years of production experience in SQL, C#, Python, or JavaScript
• Strong relational database design, scripting, and query optimization skills
• Experience integrating AI or LLM services, with exposure to frameworks like Semantic Kernel, Copilot Studio, or AI Foundry
• Demonstrated ability to build scalable, repeatable solutions and move from concept to production in ambiguous environments
• Strong problem-solving skills in ambiguous environments with the ability to work seamlessly across product, integration, and delivery teams
• Strong Cross functional work experience with Engineering, Implementations, or Security teams
• Experience building and deploying applications in the Microsoft Azure ecosystem
• Familiarity with CI/CD pipelines and structured Git workflows
• Experience in healthcare SaaS environments
• Familiarity with HL7, FHIR, or healthcare data standards
• Understanding of retrieval-based workflows or vector databases
• Exposure to Ai Agent Orchestration or Multi-Agent workflows