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Lead Software Architect, Cloud & AI Modernization — myAvatar; Onsite; Overland Park, KS

Job in Overland Park, Johnson County, Kansas, 66213, USA
Listing for: Netsmart
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Software Architect, Cloud Engineer - Software, DevOps, AWS
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Lead Software Architect, Cloud & AI Modernization — myAvatar (Onsite)Overland Park, KS
## Lead Software Architect, Cloud & AI Modernization — my Avatar (Onsite)
Overland Park, KSApplylocations:
Overland Park, KStime type:
Full time posted on:
Posted Todayjob requisition :
R015272

About the Role    Netsmart is seeking a Lead Software Architect, Cloud & AI Modernization to support the continued evolution of our my Avatar platform. This role is ideal for a hands-on software architecture leader who understands complex legacy applications, can guide modernization efforts, and can help engineering teams build scalable, secure, cloud-enabled solutions.  This is not a purely theoretical architecture role.

We need someone who has grown through software development, understands how applications are built and maintained, and can partner closely with engineering, Dev Ops, Product, cloud infrastructure, and business stakeholders.

The right candidate will bring practical architecture judgment, strong development credibility, AWS/cloud experience, and curiosity around how AI can responsibly improve healthcare technology.  This position is onsite in Overland Park, KS, and candidates must live in or relocate to the Greater Kansas City metro area.
What You’ll Do  
• Lead architecture decisions for the my Avatar platform, balancing legacy application realities with cloud-forward modernization goals.  
• Partner with engineering teams to design scalable, maintainable, secure, and high-performing application architecture.  
• Provide hands-on technical guidance through design reviews, code reviews, prototyping, and reference architecture.  
• Help modernize legacy systems through practical approaches such as modularization, API-first design, domain-driven design, service decomposition, and cloud-native patterns.  
• Collaborate with Dev Ops and cloud infrastructure teams to strengthen deployment, observability, reliability, automation, and operational readiness.  
• Guide teams on AWS-based architecture patterns, modernization strategies, and production support considerations.  
• Bring an AI-aware mindset to application architecture, helping identify where AI, automation, data-driven workflows, or intelligent capabilities can improve the platform and user experience.  
• Partner across Netsmart’s matrixed organization, including Engineering, Product, UX, Data, Security, Compliance, Hosting, and business leadership.  
• Communicate complex technical decisions and tradeoffs in a clear, practical way to both technical and non-technical stakeholders.  
• Establish reusable patterns, documentation, standards, and architecture guidance that help teams move faster with consistency.#

What You’ll Bring
* Strong software engineering background with experience as a Software Architect, Lead Engineer, Technical Lead, Senior Architect, or similar role.
* Hands-on experience with enterprise-scale application development and modernization.
* Experience working with legacy applications and helping teams evolve them toward more scalable, cloud-enabled architecture.
* Strong understanding of AWS, cloud-native patterns, distributed systems, APIs, microservices or modular architecture, CI/CD, observability, and Dev Ops practices.
* Experience in one or more relevant development ecosystems such as Java, .NET, C#, SQL Server, PostgreSQL, or similar enterprise technologies.
* Ability to earn credibility with engineers by connecting architecture direction to real development and operational realities.
* Strong communication skills with the ability to influence without direct authority in a matrixed environment.
* Interest in AI, machine learning, automation, or data-driven product capabilities, with a practical view of how to bring those capabilities into production responsibly.
* Bachelor’s degree or equivalent relevant experience.
*…
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