AI Automation Architect, .NET
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Job Description
AI Automation Architect responsible for designing AI-powered workflows and integrating LLMs within existing systems using C#/.NET on Azure Functions. Focused on productionizing solutions and ensuring workflow quality and reliability.
Responsibilities:
- Design and implement AI-powered workflows from idea to production
- Decide what should be handled by LLMs vs deterministic code
- Build reliable, observable, and scalable automation on Azure
- Ensure quality, safety, and continuous improvement of AI workflows
Requirements:
- Strong C# / .NET Engineering
- Production-grade C# with modern .NET
- Experience with async programming, dependency injection, error handling, and structured logging
- Writes maintainable code with unit/integration tests
- Familiar with CI/CD and code review best practices
- Hands-on experience with Azure Functions (HTTP, queue, Service Bus triggers)
- Familiar with Durable Functions (if applicable)
- Practical experience with: Azure Service Bus, Azure Storage, Key Vault, Application Insights / monitoring
- Designs prompts with structured outputs (schemas, JSON)
- Builds guardrails to reduce hallucinations and ambiguity
- Implements validation, retries, fallbacks, and human-in-the-loop where needed
- Understands real-world LLM failure modes
- Breaks business processes into clear automation steps
- Implements orchestration patterns such as: Idempotency, Correlation IDs, Retries and dead-lettering, End-to-end observability
- Defines evaluation datasets (“golden sets”)
- Runs regression tests for prompts and workflows
- Monitors quality drift and improves performance over time
- Nice-to-Have: Power Platform (Power Automate / Power Apps), Document AI / OCR (Azure Document Intelligence or similar), RAG / embeddings and retrieval-based AI solutions, Security & governance experience: PII handling, Prompt injection awareness, Audit trails and data controls
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