Job Description & Details
This is a hands-on architectural leadership role where you will bridge high-level system design with AI-driven engineering workflows in a complex healthcare domain. If you enjoy moving past pure slide-deck architecture to actively guide teams through implementation, code generation, and agentic workflows, this contract is worth a close look.
What You'll Actually Be Doing
Your days will be split between strategic system planning and deeply technical execution. You will map out APIs, data flows, and microservices while helping traditional engineering pods integrate AI-native capabilities safely. Because this is healthcare, you will spend significant time ensuring compliance, data security, and architectural guardrails are maintained while pushing the envelope with automated testing and intelligent code generation.
The Core Tech Stack
You need a strong foundation in backend and service-oriented development using Java, Golang, or Spring. Beyond standard cloud-native and microservices architecture, you must have legitimate experience with AI-assisted development tools, copilots, and agentic workflows. The company isn't just looking for someone who knows how to design systems on paper; they need an architect who can credibly review code, mentor developers on modern tooling, and orchestrate reliable AI integration.
Interview Expectations
Expect to be grilled on how you balance architectural governance with delivery speed when using AI code generation tools. The hiring manager wants to know how you prevent hallucinated or insecure code from making it into production within a regulated ecosystem. They will likely present a hypothetical system breakdown and ask you to walk through service decomposition, API design, and how you would deploy AI agents to accelerate delivery without compromising data privacy.
Application Advice
Skip the generic architectural buzzwords and explicitly highlight your hands-on experience with modern backend stacks like Java or Spring alongside any concrete examples of AI-assisted engineering or workflow automation. Make sure to emphasize your experience navigating regulated environments or complex data domains, as proving you understand compliance constraints alongside modern cloud-native systems is your golden ticket to landing the interview.