Software Architect​/AI Lead

Langate is an award-winning provider of web development services in 3 main categories: business, healthcare, and education. At Langate, we’re passionate about crafting digital solutions that make a real impact. We take immense pride in our strong collaboration with the U.S. We’re here to shape the future of technology, one milestone at a time.

The product is a SaaS platform for the U.S. healthcare insurance domain. It helps customers read, collect, and process large volumes of insurance-related data and connects to multiple data sources in different ways. It is a multi-tier system with data warehouse, middleware, and front-end layers, built on the .NET stack (ASP.NET MVC and Web API, message queuing, Windows services, and a set of microservices) with MS SQL.

The product is live and in active use, and the company is now preparing its next stage: modernizing the platform and bringing an AI-driven approach to architecture and development so that new functionality reaches users faster. Which parts move to a new architecture, which new services are built with an AI-driven approach, and what stays as it is are exactly the decisions this role will help shape.

In your first two months you get to know the system and the team, shape the first version of the target architecture together with our Engineering Manager, and present a small proof of concept. By month three, the goal is an agreed plan, development running at a steady pace, and first practical results on one to three new modules or features.

By month six, the new team is delivering new functionality on the agreed architecture.

• Proven experience as a Software / Application or Solution Architect, combined with a Team Lead role
• Strong .NET / C# background across ASP.NET Framework and ASP.NET Core, including migration from .NET Framework to modern .NET
• Hands-on front-end experience with Angular and React: the current front end is built on Angular, and React is a likely direction for new modules given its strong support in AI-driven and agentic development
• Practical experience designing and running solutions on Azure Cloud:
  Web Apps, Azure Container Apps, Service Bus, Key Vault, networking (VNets, private endpoints), Cosmos DB and Application Insights
• Hands-on experience modernizing brownfield or legacy systems: auditing an existing system, defining a target architecture, writing specifications, and planning a phased migration
• Mature architecture practice: documenting decisions as ADRs, defining and measuring non-functional requirements (performance, scalability, availability, security, observability), and explaining trade-offs to technical and business stakeholders
• Around 1+ year of practical AI Engineering (AI SDLC / Agentic Engineering) experience: spec-driven development, agentic coding tools, context engineering, AI-assisted review and testing, and readiness to write code yourself, not only to lead
• Strong quality engineering mindset: test strategy, automated testing and CI/CD quality gates, especially for AI-generated code
• Experience teaching and coaching engineers in AI-driven development through workshops, pairing and hands-on examples, and turning individual practices into team standards
• Experience across several projects and different architectures, not just one system
• Experience managing an engineering team and introducing AI-driven approaches into delivery

• Experience in the healthcare or insurance domain (HIPAA, working with sensitive data)
• Experience in a product company or a startup, or your own side project or business
• Experience building AI capabilities into products (LLM integration, RAG, evaluations)
• Ability to move fast with lean processes and a clear focus on business…