AI Applied Architect (.NET & Databricks)

SYMHAS L.L.C.

Dallas, TX, United States

11 days ago

Apply on www.juju.com

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$97,760.0 - $106,080.0

Working hours

Regular working hours

Job source

www.juju.com

Tech stack

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

+32 more

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

Job 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

Requirements

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)