AI Automation Architect (.NET)

PH April 17, 2026 Full Time

We’re looking for an AI Workflow Engineer / Automation Architect to design and build end-to-end AI-enabled business workflows. You’ll productionize solutions using C#/.NET on Azure Functions, integrating LLMs cleanly and safely into existing systems.

What You’ll Do

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

Must-Have Requirements

1. 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

2. Azure Functions & Azure Services

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
Understands configuration, secrets, and scaling concerns

3. LLM & Prompt Engineering

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

4. AI Workflow Orchestration

Breaks business processes into clear automation steps
Implements orchestration patterns such as:
Idempotency
Correlation IDs
Retries and dead-lettering
End-to-end observability

5. Quality & Evaluation

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