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# Principal Application Architect

- **Company:** Gainwell Technologies
- **Location:** United States
- **Salary:** $118,800.0 - $169,700.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, Applications Architecture, Software as a Service, Cloud Computing, Code Generation, Cyber Security, Continuous Integration, Disaster Recovery, Distributed Systems, PostgreSQL, Medicaid Management Information Systems (MMIS), OAuth, OpenID, Open Web Application Security, Systems Development Life Cycle, Role-Based Access Control, Reliability Engineering, Zero Trust Network Access, Systems Integration, TypeScript, Web Content Accessibility Guidelines, Cloud Platform System, GitHub Copilot, ReactJS, System Availability, Apache Spark, AWS Lambda, Git, Apache Kafka, Domain Driven Development, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Devsecops, Api Management, Serverless Computing, Microservices
- **Published:** October 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=54b362f7666c75fd

## About the Role

12 or more years in application architecture or product engineering.Architecture leadership for complex enterprise, SaaS or cloud-native platforms across the full SDLC.Deep experience with applications, APIs, integrations, data, security, DevSecOps, reliability and modernization.Medicaid, Medicare, MMIS/MES or highly regulated industry experience preferred.

## Description

Own the target-state and transition architecture for modernized Medicaid DDI and Provider Plus capabilities. Set architecture direction and AI-enabled engineering guardrails across applications, data, integrations, cloud, security, platform delivery and operations, balancing client commitments, scalability, risk, cost and maintainability., * Application architecture: React/TypeScript, .NET 10/ASP.NET Core, microservices, serverless, DDD, distributed systems and API lifecycle.

 * Cloud and data: AWS Lambda, API Gateway, S3, SQS, Glue/Spark, MSK/Kafka, EKS, PostgreSQL, canonical models and reconciliation.
 * Platform and reliability: Terraform, containers, Git, CI/CD, OpenTelemetry, SRE, high availability, disaster recovery, SLAs and SLOs.
 * Security architecture: OIDC/OAuth, SSO, MFA, RBAC, secrets, encryption, tenant isolation, zero trust and HIPAA, PHI/PII protection, OWASP, Section 508/WCAG, secure SDLC and DevSecOps.
 * Modernization: Multi-tenant SaaS, multi-version support, adapter/strangler patterns, functional parity and production adoption.

AI-Driven Delivery Skills

 * Define enterprise guardrails for approved AI development tools, including GitHub Copilot, Codex or comparable platforms, covering permitted use, data boundaries, review and evidence requirements.
 * Architect AI-assisted software-delivery patterns for code generation, test generation, specification-to-code workflows, legacy analysis and modernization, without bypassing SDLC controls.
 * Evaluate AI-generated designs and code for architecture alignment, security, quality, performance, maintainability, licensing/provenance and operational risk.
 * Define human-in-the-loop controls, traceability, evaluation criteria, quality gates and escalation paths for AI-assisted engineering decisions.
 * Use blended AI-driven analysis to synthesize requirements, architecture dependencies, release impacts and modernization options while validating conclusions against authoritative sources.
 * Assess AI tool/vendor fit, integration, identity, privacy, auditability, cost and lifecycle risk; communicate recommendations to governance and executive stakeholders.