Principal Application Architect

Gainwell Technologies LLC•Any city, OH

11d•$118,800 - $169,700

About The Position

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. 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.

Requirements

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.
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.

Nice To Haves

Medicaid, Medicare, MMIS/MES or highly regulated industry experience preferred.

Responsibilities

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.