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Solution Architect

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: AMN Healthcare
Full Time position
Listed on 2026-08-03
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software), Azure, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 90000 - 140000 USD Yearly USD 90000.00 140000.00 YEAR
Job Description & How to Apply Below

Welcome to AMN Healthcare — Where Talent Meets Purpose

Ever wondered what it takes to build one of the largest and most respected healthcare staffing and total talent solutions companies? It takes trailblazers, innovators, and exceptional people like you.

At AMN Healthcare, we don’t just offer jobs — we build careers that make a difference.

Why AMN Healthcare? Because Excellence Is Our Standard:

  • Named to Becker’s Top 150 Places to Work in Healthcare — three years running.
  • Consistently ranked among SIA’s Largest Staffing Firms in America.
  • Honored with Modern Healthcare’s Innovators Award for driving change through innovation.
  • Proud holder of The Joint Commission’s Gold Seal of Approval for Staffing Companies since 2006.
Job Summary

The Solution Architect I is an early-career architecture role responsible for designing, documenting, and guiding implementation of modern, cloud-native solutions under the guidance of senior architects and engineering leaders. This role bridges business requirements and technical execution, translating product and operational needs into scalable, secure, and reliable system designs.

The Solution Architect I partners closely with engineering teams, product managers, and Dev Ops to ensure solutions are well-architected, observable, and aligned to platform standards. This role is hands-on at the design and enablement level, with a strong emphasis on Azure-native services, modern application architectures, AI-aware solution design, and operational excellence.

Job Responsibilities
  • Design, implement, test, and maintain production-grade software using modern development practices.
  • Collaborate with product, engineering, and business stakeholders to understand functional and non-functional requirements.
  • Design cloud-native solution architecture using .NET and Microsoft Azure services, following established architectural standards and best practices.
  • Create and maintain architecture artifacts such as solution diagrams, architecture decision records (ADRs), and design specifications.
  • Guide engineering teams during implementation to ensure architectural intent, security, reliability, observability, and performance goals are met.
  • Apply modern architectural patterns including API-first design and event-driven systems where appropriate.
  • Participate in design reviews, identifying risks, tradeoffs, and opportunities for simplification or reuse.
  • Support adoption of AI-enabled capabilities by incorporating appropriate Azure AI, data, and automation services into solution designs where approved.
  • Apply agentic AI and AI-assisted development techniques responsibly to improve developer productivity and solution quality.
  • Partner with Dev Ops teams to ensure solutions are designed for CI/CD, infrastructure-as-code, observability, and operational readiness.
  • Ensure solutions address reliability, scalability, security, and cost considerations from the start.
  • Continuously evolve architectural knowledge by staying current on Azure platform capabilities, architectural guidance, and industry trends.
Key Skills
  • Strong understanding of software architecture and system design fundamentals.
  • Hands-on experience or exposure to Microsoft Azure services.
  • Experience designing or supporting cloud-native applications and APIs.
  • Experience architecting and developing .NET solutions (C#, ASP.NET, APIs, services).
  • Familiarity with modern frontend architectures, including React-based SPAs and Type Script.
  • Working knowledge of Microsoft SQL Server, including data modeling considerations, performance tradeoffs, and data access patterns.
  • Understanding of Dev Ops practices, CI/CD pipelines, and infrastructure-as-code concepts.
  • Awareness of observability, monitoring, and reliability engineering principles.
  • Exposure to AI-enabled application patterns or intelligent automation.
  • Ability to communicate technical designs clearly.
  • Strong analytical and problem-solving skills.
Qualifications

Education and Experience
  • Bachelor’s Degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 3–5 years of professional experience in software development, systems engineering, or a related technical role.
  • Experience contributing…
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