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Generative Ai Associate Jobs in Austin, TX (NOW HIRING)

MSRcosmos LLC

.NET AI Engineer

Austin, TX · On-site

$96K - $132K/yr

Azure Developer Associate * Microsoft Certified: Azure Solutions Architect Expert * Generative AI / OpenAI Certifications * Microsoft Azure Data Engineer Certifications Experience Requirements

Cloudelligent

AWS Solutions Architect- AI/ML

Austin, TX · On-site

$64.25 - $84.25/hr

With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI ... AWS Certified Solutions Architect - Associate or Professional Powered by JazzHR 0mr8ofHs4p

Litera

Associate, Legal Knowledge Engineering

Austin, TX · Hybrid

$115K - $133K/yr

Why this Role Matters As our Associate, Legal Engineering, you'll play a key role in shaping how ... Optimized generative AI experiences. Experiment with and validate LLM-driven prompting within ...

Amazon

Associate Account Executive

Austin, TX · On-site

While the industry knows this role as a SDR, BDR, Associate Account Executive, Amazon's customer ... explosion of generative AI, the opportunity has never been larger. You'll be at the forefront ...

Amazon

Associate Account Executive

Austin, TX · On-site

While the industry knows this role as a SDR, BDR, Associate Account Executive, Amazon's customer ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

Amazon

Associate Account Executive

Austin, TX · On-site

While the industry knows this role as a SDR, BDR, Associate Account Executive, Amazon's customer ... Stay ahead of the curve with next-generation engagement strategies using generative AI, agentic ...

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Generative Ai Associate information

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How much do generative ai associate jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for generative ai associate in Austin, TX is $17.26, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $18.37 per hour, depending on experience, location, and employer.

What is a generative AI associate?

Generative AI Associates are professionals who support the development, implementation, and management of AI systems that create new content such as text, images, audio, or code. They often work with machine learning models, particularly those based on generative techniques like large language models or diffusion models. Their responsibilities may include data preparation, model training, prompt engineering, and evaluating AI outputs. Generative AI Associates typically collaborate with data scientists, engineers, and product teams to ensure AI solutions meet business and ethical standards.

How does a generative AI associate typically collaborate with data scientists and engineers on projects?

As a Generative AI Associate, you will often work closely with data scientists to understand data requirements and model objectives, and with engineers to help deploy and integrate AI solutions into existing systems. Collaboration usually involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical issues together. You may also assist with data preprocessing, building prototypes, and documenting workflows to ensure smooth handoffs between teams. This cross-functional teamwork is essential for delivering robust and scalable generative AI applications.

What are the key skills and qualifications needed to thrive as a generative AI associate, and why are they important?

To thrive as a Generative AI Associate, strong foundations in machine learning, data analysis, and programming (often Python) are essential, typically supported by a degree in computer science or a related field. Familiarity with popular AI frameworks such as TensorFlow, PyTorch, and experience using cloud platforms like AWS or Azure are commonly required, along with knowledge of prompt engineering and large language models. Creative problem-solving, effective communication, and a collaborative mindset are standout soft skills in this role. These skills and qualities enable associates to design innovative AI solutions, communicate complex ideas, and work efficiently in fast-evolving, interdisciplinary environments.

What are the most commonly searched types of Generative Ai jobs in Austin, TX?

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Generative Ai Associate jobs near you
Infographic showing various Generative Ai Associate job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,911 per year, or $17.3 per hour.

.NET AI Engineer

Austin, TX • On-site

MSRcosmos LLC
IT Services • 11 - 50 employees
Learn more about MSRcosmos LLCexternal

$96K - $132K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job description

Job Title: .NET AI Engineer

Austin, TX



  • .NET Core
  • GitHub Copilot
  • JSON
  • Microservices
  • Prompt Engineering
  • Azure OpenAI
  • C#
  • REST APIs
  • Azure Cloud Services
  • AI/Generative AI Development


Job Summary

We are seeking a highly skilled .NET AI Engineer to design, develop,Mandatory Skillsand deploy AI-driven applications leveraging the Microsoft technology ecosystem. The ideal candidate will possess strong expertise in .NET development, Azure AI Services, Generative AI, OpenAI technologies, cloud platforms, and modern software engineering practices.

This role involves developing intelligent enterprise applications, integrating Large Language Models (LLMs), building AI agents, and delivering scalable, secure, and innovative AI solutions.

Key Responsibilities

  • Design, build, and maintain enterprise-grade applications using C#, .NET Core/.NET 8, ASP.NET MVC, and Web APIs.
  • Integrate Generative AI capabilities utilizing Azure OpenAI, OpenAI APIs, and Microsoft AI Services.
  • Develop AI-powered solutions such as chatbots, copilots, intelligent search platforms, and workflow automation systems.
  • Architect and optimize Retrieval-Augmented Generation (RAG) applications using vector databases.
  • Implement AI orchestration frameworks including Semantic Kernel, LangChain, AutoGen, or equivalent technologies.
  • Design and develop RESTful APIs and microservices to support AI-enabled applications.
  • Apply advanced prompt engineering techniques and AI model optimization strategies.
  • Work with databases including SQL Server, Cosmos DB, PostgreSQL, and MongoDB.
  • Deploy and manage applications on Microsoft Azure using App Services, Azure Functions, AKS, and containerized environments.
  • Ensure solution security, scalability, governance, and compliance with enterprise standards.
  • Collaborate with architects, business stakeholders, and cross-functional teams throughout the project lifecycle.


Required Technical Skills

.NET Development

  • C#
  • .NET Core / .NET 8
  • ASP.NET MVC & Web API
  • Entity Framework Core
  • LINQ
  • Dependency Injection
  • Microservices Architecture
  • REST API Development

AI & Generative AI

  • Azure OpenAI Service
  • OpenAI APIs (GPT Models)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • AI Agent Development
  • Semantic Kernel
  • LangChain
  • LLM Fine-Tuning Concepts
  • Vector Databases:
  • Azure AI Search
  • Pinecone
  • Weaviate
  • ChromaDB

Cloud & DevOps

  • Microsoft Azure
  • Azure Functions
  • Azure App Services
  • Azure AI Services
  • Docker
  • Kubernetes (AKS)
  • CI/CD Pipelines
  • Azure DevOps
  • GitHub Actions

Databases

  • SQL Server
  • Cosmos DB
  • PostgreSQL
  • MongoDB
  • Data Modeling & Performance Optimization


Preferred Qualifications

  • Experience with Microsoft Copilot Studio
  • Knowledge of Machine Learning (ML) and MLOps
  • Experience integrating solutions with the Microsoft Power Platform
  • Familiarity with Natural Language Processing (NLP), OCR, Speech-to-Text, and Azure Document Intelligence
  • Exposure to TensorFlow, PyTorch, and Python AI frameworks
  • Experience working on Banking, Financial Services, and Insurance (BFSI) domain projects

Educational Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline


Key Competencies

  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
  • Experience working in Agile/Scrum environments
  • Advanced debugging, troubleshooting, and performance optimization expertise
  • Passion for continuous learning and adoption of emerging AI technologie


Preferred Certifications

  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Certified: Azure Developer Associate
  • Microsoft Certified: Azure Solutions Architect Expert
  • Generative AI / OpenAI Certifications
  • Microsoft Azure Data Engineer Certifications


Experience Requirements

  • Hands-on experience with Azure OpenAI, Semantic Kernel, and Azure AI Search
  • Proven experience designing and deploying AI-powered enterprise applications on Microsoft Azure
  • Strong understanding of AI application architecture, LLM integration, and cloud-native development


Skills

Mandatory Skills : .Net Core, GitHub Co-Pilot, JSON, Microservices, Prompt Engineering

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