AI Applied Architect (.NET & Databricks)

About the role

We're looking for a seasoned 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. You'll sit at the intersection of software architecture, applied AI, and modern data engineering — shaping how we build, scale, and govern intelligent applications across our product portfolio. This is a high-impact role with visibility at the executive level and meaningful influence over our long-term technology roadmap.

What you'll do

• Architect and deliver end-to-end AI/ML solutions on the .NET ecosystem, including integration with Azure AI, OpenAI, and Semantic Kernel.
• Design and own enterprise-scale Databricks lakehouse architectures — including 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 decision-making for AI-powered product features.
• Collaborate with product managers, data scientists, and engineering teams to translate business requirements into scalable AI and data architectures.
• Evaluate and recommend frameworks, tools, and cloud services for AI workloads — model serving, RAG pipelines, vector stores, agents, and feature engineering on Databricks.
• Build and govern feature engineering pipelines on Databricks, feeding production ML models and LLM-grounded retrieval systems.
• Establish and enforce best practices for AI system reliability, security, observability, and responsible AI governance.
• Mentor senior engineers and provide technical leadership across multiple squads.
• Stay current on emerging AI/LLM capabilities and proactively identify opportunities for adoption.

What you bring

• 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.
• Proficiency with Azure OpenAI Service, Azure AI Studio, Semantic Kernel, and/or LangChain equivalents in .NET.
• Production-grade Databricks experience: Delta Lake, PySpark/SQL, Databricks Workflows, Medallion architecture, Unity Catalog, and MLflow on Databricks.
• Deep familiarity with microservices, event-driven design, API design, and distributed systems.
• Proven track record leading cross-functional teams and driving large-scale technology initiatives.
• Excellent communication skills — able to translate complex technical concepts for executive and non-technical audiences.

Nice to have

• Experience with MLOps tooling beyond MLflow: Azure ML, Kubeflow, or Databricks Model Serving endpoints.
• Familiarity with vector databases (Pinecone, Qdrant, Azure AI Search).
• Background in regulated industries (fintech, healthcare, legal).
• Experience integrating Databricks Feature Store with real-time inference pipelines.
• Contributions to open-source AI/ML or data engineering projects.

Tech stack

Category Technologies

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

Why this role is different

Most AI architect roles live either in the data platform world or the application/LLM world. This role owns both — you'll design the Databricks pipelines that prepare, govern, and serve data, and you'll architect the .NET AI systems that consume it. If you're energized by closing the gap between data engineering and applied AI delivery, this is built for you.