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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Applied Architect (.NET & Databricks) - **Company:** SYMHAS L.L.C. - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Salary:** $97,760.0 - $106,080.0 - **Contract:** Temporary contract - **Skills:** Unity 3d, ASP.NET, .NET Framework, Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Cloud Engineering, Information Engineering, Data Infrastructure, Distributed Systems, Data Intelligence, PostgreSQL, Machine Learning, Microsoft SQL Server, Software Architecture, Cloud Services, Prometheus, Azure Machine Learning, Search Technologies, Software Engineering, SQL Databases, Systems Integration, Azure Service Bus, Feature Engineering, Azure Data Factory, Cloud Monitoring, Large Language Models, Grafana, Backend, Event Driven Architecture, Data Lakes, Pyspark, Kubernetes, Cosmos DB, Azure AKS, Machine Learning Operations, Api Design, Restful APIs, Terraform, Grpc, Docker, Databricks, Microservices - **Published:** September 25, 2026 - **Apply:** https://www.juju.com/job/16_a12890e73 ## About the Role * 8+ years of software engineering experience, with at least 3 years in a solutions or enterprise architect role * Strong command of C# / .NET (Core / .NET 6/7/8) and cloud-native patterns on Azure * Hands-on experience designing and deploying AI/ML systems in production - LLMs, RAG, embeddings, fine-tuning, or agentic architectures * Production-grade Databricks experience: Delta Lake, PySpark/SQL, Databricks Workflows, Medallion architecture, Unity Catalog, and MLflow * Deep familiarity with microservices, event-driven design, API design, and distributed systems * Nice to have: MLOps tooling beyond MLflow (Azure ML, Kubeflow, Databricks Model Serving), vector databases, and background in regulated industries (fintech, healthcare, legal) ## Description We are seeking an AI Applied Architect with deep .NET expertise and hands-on Databricks experience to lead the design and delivery of enterprise-grade AI and data intelligence systems. The role sits at the intersection of software architecture, applied AI, and modern data engineering - architecting .NET AI applications, designing Databricks lakehouse pipelines, and collaborating with product managers, data scientists, and engineering teams to deliver scalable, governed AI solutions. Technical Stack * Backend: .NET 8 / C#, ASP.NET Core, gRPC, REST APIs * AI / LLM: Azure OpenAI, Semantic Kernel, Azure AI Studio * Data Platform: Databricks (Delta Lake, MLflow, Unity Catalog, Workflows) * Cloud & Infra: Azure Kubernetes Service, Azure Data Factory, Azure Service Bus * Vector & Search: Azure AI Search, Pinecone, Qdrant, FAISS * Databases: SQL Server, Azure Cosmos DB, PostgreSQL * DevOps: GitHub Actions CI/CD, Docker, Kubernetes, Terraform * Observability: Azure Monitor, Prometheus, Grafana, MLflow tracking Responsibilities * Architect and deliver end-to-end AI/ML solutions on the .NET ecosystem, integrating Azure AI, OpenAI, and Semantic Kernel * Design and own Databricks lakehouse architectures - Medallion (bronze/silver/gold) pipelines, Delta Lake, Unity Catalog governance, and MLflow-based model lifecycle management * Lead technical design sessions, define architecture standards, and drive decisions for AI-powered product features * Evaluate and recommend frameworks and cloud services for AI workloads - model serving, RAG pipelines, vector stores, agents, and feature engineering on Databricks * Establish best practices for AI system reliability, security, observability, and responsible AI governance * Mentor senior engineers and provide technical leadership across multiple squads ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Building Multi-Tenant ASP.NET Core Applications: Best Practices and Real-World Solutions](https://www.wearedevelopers.com/videos/1552-building-multi-tenant-asp-net-core-applications-best-practices-and-real-world-solutions) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Developing ASP.NET Core Microservices with Dapr: A practical guide](https://www.wearedevelopers.com/videos/1528-developing-asp-net-core-microservices-with-dapr-a-practical-guide) - [Best practices: Building Enterprise Applications that leverage GenAI](https://www.wearedevelopers.com/videos/1513-best-practices-building-enterprise-applications-that-leverage-genai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)