Design and implement database-driven, AI-enabled workflows using Microsoft Azure to automate data transformation, validation, and configuration. Integrate LLM services and RAG patterns, ensure production readiness with logging, monitoring, CI/CD, and data contracts, and collaborate with solution architects and cross-functional teams to scale repeatable automation across a healthcare SaaS platform.
Team Summary:
Technical Services is evolving from delivering projects to building intelligent systems. Our team provides solutions that streamline internal processes, improve customer implementations, and deliver scalable, autonomous services across our healthcare platform.
We work closely with Engineers, solution architects, and product teams to bring LLM-driven agents and intelligent workflows into production across a dynamic healthcare SaaS environment.
Reporting into the Sr Manager, Technical Services
Job Summary:
We are looking for a Solutions Engineer to 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. This role focuses on enabling scalable, repeatable delivery models through structured automation.
You will translate architectural concepts into production-ready systems that automate operational work using the Microsoft Azure ecosystem. This is a hands-on engineering role centered on building durable automation solutions, not experiments.
Key Responsibilities:
•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, enabling autonomous processes that can be triggered, executed, logged, and monitored reliably. The objective is to reduce manual intervention across implementation and support operations while improving efficiency and consistency.
•Translate Architecture into Production Systems:
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.
•Scale Through Cloud-Native Engineering:
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.
•Embed AI Into Real Workflows:
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.
Your Key Strengths:
•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.
Nice to Haves:
•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
#Remote
#Tech C P2
#MG-LI1
Top Skills
Sql,C#,Python,Javascript,Microsoft Azure,Azure Functions,Azure App Service,Azure Logic Apps,Azure Ai,Llm,Semantic Kernel,Copilot Studio,Ai Foundry,Ci/Cd,Git,Rag
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Revenue Assurance Chargemaster Analyst maintains the chargemaster, ensures compliance with regulations, collaborates with teams, conducts audits, and supports billing practices.
Top Skills:
ExcelMicrosoft Business Applications
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, test, and deploy applications using Java and Spring Boot, collaborate with teams, and maintain high-performance systems in a cloud-based environment.
Top Skills:
AWSAzureDockerGCPJavaKafkaKubernetesSpring Boot
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
This Compliance Consultant role focuses on ensuring compliance with financial regulations, conducting testing, managing compliance documentation, and providing advisory support. It involves risk assessments, monitoring compliance, and supporting regulatory requirements.
Top Skills:
Case Management SystemsCompliance ToolsRegulatory Change Management ToolsTransaction Monitoring
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
