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Principal Software Architect - Hybrid

Job in Milwaukee, Milwaukee County, Wisconsin, 53203, USA
Listing for: Genesis10
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 USD Yearly USD 180000.00 YEAR
Job Description & How to Apply Below

Genesis
10 is currently seeking a a Principal Software Architect for a direct placement position with our healthcare client in Minneapolis, MN. This role will be working on a hybrid schedule.


Compensation: $180,/year

POSITION SUMMARY
The Principal Software Architect is a key member of the team that owns the technical architecture across Client product portfolio including system design, technology selection, integration patterns, and the long-range architectural roadmap. Serve as the keeper of architectural integrity as Client modernizes from a legacy Win Forms-based estate into a cloud-native, API-first, AI-augmented SaaS platform.

This individual will work in close partnership with the Chief Technologist, Technology leadership, and Product teams to translate Client enterprise objectives into a coherent, durable, and clearly documented technical strategy. Lead architecturally by influence — across product teams, shaping the multi-year platform roadmap, mentoring engineers, and engineering leads, and leaving the engineering organization measurably stronger.

Preferred location for this position is our Corporate Headquarters in Appleton, WI, with hybrid work options available.

JOB RESPONSIBILITIES
Platform & System Architecture

  • Key team member that owns the end-to-end architecture for Client platforms— domain decomposition, service boundaries, integration patterns, data flow, and the API layer that will replace tightly-coupled module dependencies.
  • Lead the architectural roadmap from today's estate to a modern, cloud-native, API-first, web-delivered platform — sequenced against the Azure migration and Platform Modernization workstream.
  • Publish Architecture Decision Records (ADRs) for every significant decision — making trade-offs visible, rationale durable, and the platform's evolution auditable for current and future engineering leaders.
  • Set and enforce cross-product architectural standards — coding patterns, API contracts, eventing, error handling, observability, data integrity — so teams build on a coherent foundation rather than locally-optimized variants.
Cloud-Native & Microsoft Azure
  • Partner with the Cloud Infrastructure Architect and Dev Ops to shape the Azure landing zone, network topology, security baseline, and deployment model — translating platform architecture into the cloud constructs that enable it.
  • Lead application-level Azure architecture decisions: compute (App Service, Container Apps, AKS, Functions), persistence (Azure SQL, Cosmos DB, Blob), eventing (Service Bus, Event Grid), API Management, identity (Entra ), and key management.
  • Steward cloud cost architecture — design for unit economics, scale efficiency, and predictable cost per module, in coordination with the Chief Technologist and Cloud Infrastructure Architect.
  • Architect for resilience and recoverability — RPO/RTO targets, multi-region posture, failover patterns, and the disaster recovery design appropriate for clients operating against regulatory filing deadlines.
AI-Augmented Engineering & Agentic Practices
  • Define the architectural reference patterns for AI-augmented software delivery at Client — how Client standard AI toolchain (Microsoft Copilot family and the Anthropic suite, including Claude and Claude Code) is used safely, consistently, and effectively across the engineering organization.
  • Establish guardrails for AI-generated code in a regulated-data environment — review patterns, security baselines (OWASP coverage of AI output), licensing posture, secrets handling, and SDLC integration in partnership with Application Security.
  • Architect Client path toward agentic and AI-native product capabilities — RAG patterns over compliance content, agent orchestration, tool/function design, evaluation harnesses, and the data and retrieval architecture that makes them production-grade.
  • Track and evaluate emerging AI infrastructure (Azure AI Foundry, foundation models, vector and semantic search, MCP and agent frameworks, evaluation tooling) and form a defensible viewpoint on what to adopt, when, and why.
Integration & Data Architecture
  • Key member of the team that owns the integration architecture for Client enterprise touchpoints — SAP, IRS,…
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