AI Engineer – .NET

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