AI Engineer With (.Net) (Houston)

Job Title: AI Engineer – .NET

Location: Houston, TX

Position Summary

Design and deliver enterprise AI, ML, and GenAI solutions by combining .NET application development with Databricks-based data engineering. The role focuses on building scalable, production-ready AI systems, modernizing legacy platforms, and enabling AI-driven automation, including AI agents.

Key Responsibilities

Build end-to-end AI solutions (data pipelines, model development, deployment)

Develop scalable pipelines using Databricks (Spark, Delta Lake, MLflow)

Integrate AI models into .NET applications and enterprise systems

Support real-time and batch AI inference

Contribute to legacy modernization (PowerBuilder to .NET)

Work with Oracle-based systems and enterprise data platforms

Implement CI/CD and deploy solutions on Azure

Ensure governance, security, and responsible AI practices

Collaborate with cross-functional teams and mentor junior engineers

Drive adoption of AI agents and intelligent automation

Required Qualifications

Bachelor’s degree in Computer Science or related field

5+ years in AI/ML, data engineering, or software development

Strong .NET experience (C#, ASP.NET Core, APIs)

Hands-on experience with Databricks

Experience with AI/ML model deployment in production

Strong background in .NET platforms and enterprise application development

Experience working with Oracle databases and enterprise data systems

Experience in legacy system modernization (PowerBuilder to .NET preferred)

Exposure to building or integrating AI models and AI agents in enterprise solutions

Technical Skills

Databricks (Spark, Delta Lake, MLflow)

C#, Python, SQL

AI/ML, GenAI APIs

Azure cloud platforms

Understanding of AI agent frameworks (preferred)

Preferred

Experience with ERP/finance systems

Familiarity with Azure ML / Azure OpenAI

Experience with unstructured data (OCR, documents)

Exposure to governed or regulated environments

Business Impact

Enable scalable enterprise AI adoption

Improve data-driven decision-making

Modernize legacy systems with AI capabilities

Drive automation using AI agents