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

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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How much do generative ai associate jobs pay per hour?

As of Sep 4, 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.

AWS Solutions Architect- AI/ML

Cloudelligent

Austin, TX • On-site

$64.25 - $84.25/hr

Full-time

Re-posted 25 days ago

Job description

Position Title: AWS Solutions Architect- AI/ML
Employment Time: Full-Time
This Is a fully remote position with travel required.
About Cloudelligent
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies.
Responsibilities
  • Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency.
  • Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation.
  • Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage AI, data, and modernization strategies.
  • Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, security, and cost optimization.
  • Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications.
  • Define and implement cloud governance frameworks to ensure compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance.
  • Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set.
  • Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making.
  • Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi- region deployments to ensure seamless transitions to cloud environments.
  • Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions.
Requirements
  • 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture.
  • Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads.
  • Experience with cloud services: Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
  • Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs.
  • Proven experience migrating legacy applications to AWS, leveraging containers (Docker, ECS, EKS), serverless technologies, and cloud-native architectures.
  • Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management.
  • Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance.
  • Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships.
Highly Preferred
  • AWS Certified Machine Learning - Specialty
  • AWS Certified Solutions Architect - Associate or Professional

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