AI Architect (AWS & Microsoft Stack)

Posted 1mo ago

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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 or equivalent)
Drive OIDC modernization across products
Architect event-driven and event-sourced systems with domain event contracts and replay/projection patterns
Design and implement GraphQL APIs as a unified query layer across decomposed services
Design and evolve AI orchestration pipelines (multi-agent, sub-agent delegation, 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, graceful degradation, horizontal scaling)
Define and enforce observability architecture (distributed tracing, structured logging, metrics, DAU telemetry)
Integrate AI tooling (Claude, Copilot, custom agents) into development workflows

10+ years of professional software development with C# and .NET ecosystem
At least 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 management)
Hands-on experience migrating legacy applications to modern SPA frameworks (Angular or equivalent)
Experience with legacy migration patterns (strangler fig, branch by abstraction, parallel run)
Strong command of observability architecture: OpenTelemetry or equivalent, structured logging, distributed tracing, metrics dashboards
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 (U.S. citizenship or permanent residency generally required)

Skills