Technical Solutions Architect designing Juniper and Aruba enterprise networking solutions for Arrow’s channel partners. Leading technical sales engagements, demonstrations, and solution architecture across North America.
About the role
- Solutions Engineer designing and implementing database-driven AI workflows for healthcare SaaS platform. Collaborating with engineers to automate operational tasks using Microsoft Azure ecosystem.
Responsibilities
- Design and implement database-driven, AI-enabled workflows that reduce manual implementation effort, accelerate customer onboarding, and improve data accuracy and reliability across our healthcare SaaS platform.
- Translate architectural concepts into production-ready systems that automate operational work using the Microsoft Azure ecosystem.
- Build Intelligent Operational Workflows: 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.
- Partner with solution architects to convert technical designs into scalable, maintainable implementations.
- 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.
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
Benefits
- 10% bonus and Fulltime benefits
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