AI Architect (AWS & Microsoft Stack)

CentralSquare Technologies

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Define and own cloud-native architecture for C# services, APIs, and containerized workloads on AWS EKS
Design core reasoning loops, planning mechanisms, and state management for AI agents
Lead monolith decomposition strategy and incremental extraction plans
Architect migration from legacy ASP.NET WebForms to modern SPA frameworks (Angular)
Drive OIDC modernization across products
Architect event-driven and event-sourced systems with domain event contracts
Design and implement GraphQL APIs as a unified query layer
Design and evolve AI orchestration pipelines (multi-agent, spec-to-code-to-test)
Prepare products for AI integration by designing MCP-ready architectures
Establish specification framework for AI-driven development
Drive legacy system refactoring strategy (rewrite, wrap, strangle)
Architect for resilience and scalability (circuit breakers, retry policies, autoscaling)
Define and enforce observability architecture (distributed tracing, structured logging, metrics)
Integrate AI tooling (Claude, Copilot, custom agents) into development workflows

10+ years of professional software development with C# and .NET ecosystem
3+ years operating as an architect across multiple teams or products
Proven experience decomposing monolithic applications into distributed cloud-native services
Deep experience with SQL databases such as PostgreSQL
Strong AWS cloud architecture experience (compute, networking, storage, data, security, cost)
Hands-on experience migrating legacy applications to modern SPA frameworks (Angular)
Experience with legacy migration patterns (strangler fig, branch by abstraction, parallel run)
Strong command of observability architecture (OpenTelemetry, structured logging, distributed tracing)
Experience designing for resilience and cost efficiency (circuit breakers, retry policies, autoscaling)
Strong background in event-driven architecture and event sourcing
Understanding of AI integration patterns and protocol-level interfaces like MCP
Strong understanding of containerization, infrastructure-as-code (Terraform/CloudFormation), and CI/CD pipeline design
CJIS clearance required as part of onboarding (U.S. citizenship or permanent residency generally required)

Skills