Senior AI/ML Engineer - .NET & Azure Innovator

Allstate Insurance; Illinois; On-site; USD 140,000 - 150,000; Full time

Job summary

National General is seeking a Senior Consultant II - AI/ML Engineer to design, build, and integrate AI-powered solutions within enterprise systems. The role focuses on applying ML/LLM technologies and practical software engineering in an Azure environment.

You will work on data ingestion, transformation, and automation, delivering production-ready AI capabilities through APIs and services in collaboration with business SMEs and technical teams.

Qualifications

• Experience with C#/.NET in enterprise-scale environments.
• Experience with Machine Learning, Generative AI, LLMs, or AI-assisted automation solutions.
• Python programming and data engineering experience.
• Familiarity with Azure DevOps, CI/CD, observability, and enterprise application support.
• Experience building APIs, integrating applications, and working with JSON and SQL databases.
• Hands-on experience with Azure cloud services and modern architectures.

Responsibilities

• Design and implement AI-enabled applications using C#/.NET, Azure, and modern AI/LLM services.
• Develop data ingestion, transformation, and automation pipelines for structured and unstructured data.
• Build and integrate AI capabilities into existing enterprise applications via APIs and services.
• Collaborate with SMEs and technical teams to translate business challenges into scalable technical solutions.
• Evaluate, test, and optimize AI/ML outputs for accuracy and production readiness.
• Support end-to-end delivery including design, implementation, validation, documentation, and handoff.

Skills

C#/.NET

Machine Learning

Generative AI

LLMs

Python

Azure

APIs

Data Transformation

Tools

Azure DevOps

CI/CD

JSON

SQL

Azure Cloud Services

API Integration

Job description

National General is seeking a Senior Consultant II - AI/ML Engineer to design, build, and integrate AI-powered solutions within enterprise systems. The role focuses on applying ML/LLM technologies and practical software engineering in an Azure environment.

You will work on data ingestion, transformation, and automation, delivering production-ready AI capabilities through APIs and services in collaboration with business SMEs and technical teams.