Role Name : .NET AI Architect Location: Tampa, FL OR Nashville, TN
Work Type: Hybrid
Travel: Some Travel to Other Locations Required
Candidate Requirement: Local Candidates Only
Interview: Onsite Interview
Employment Type: W2
Visa: -EAD
Experience: 10+ Years
Pay Rate: $67/hr on W2
Job Description
We are seeking an experienced .NET AI Architect with a strong software engineering background and hands-on experience designing and developing Generative AI and Large Language Model (LLM) solutions.
The ideal candidate will have strong experience with Azure AI technologies, Azure OpenAI, Retrieval-Augmented Generation (RAG), AI Agents, LangChain/LangGraph, Python, C#, and .NET Core. The candidate will provide technical leadership while designing and deploying scalable AI applications in Azure cloud environments.
Required Qualifications
10+ years of software engineering experience.
3+ years of hands-on experience with Generative AI and LLM technologies.
Strong experience with Azure OpenAI and the Azure AI ecosystem.
Strong experience designing and implementing RAG and knowledge-based systems.
Experience developing AI Agents and agentic AI solutions.
Hands-on experience with LangChain and/or LangGraph.
Strong development experience with Python, C#, and .NET Core.
Experience building and deploying AI applications in Microsoft Azure.
Strong understanding of AI/ML development and application architecture.
Experience with cloud and DevOps practices.
Strong SQL and NoSQL database experience.
Technical leadership, architecture, or mentoring experience.
Ability to translate business requirements into scalable technical solutions.
Responsibilities
Design and architect enterprise-scale Generative AI and LLM solutions.
Develop AI-powered applications using Azure OpenAI and other Azure AI services.
Design and implement RAG architectures and knowledge systems.
Develop AI Agents and agentic workflows using modern AI frameworks.
Build scalable AI applications using Python, C#, and .NET Core.
Design and implement integrations between AI solutions, enterprise applications, and data platforms.
Evaluate and implement appropriate AI frameworks, models, and architectural patterns.
Develop cloud-native AI applications using Microsoft Azure.
Collaborate with engineering, data, product, and business teams to define AI solutions.
Provide technical leadership and mentor engineering teams.
Establish best practices for AI application development, deployment, scalability, security, and maintainability.
Support CI/CD, DevOps, monitoring, and production deployment of AI solutions.
Work with SQL and NoSQL data sources to support AI and knowledge-based applications.
Preferred Skills
Azure OpenAI
Azure AI Services
Generative AI
LLMs
RAG
Knowledge Systems
AI Agents
LangChain
LangGraph
Python
C#
.NET Core
Azure Cloud
AI/ML
Cloud Architecture
DevOps
SQL
NoSQL
Technical Leadership
