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

AI Infrastructure Operations Engineer

Austin, TX ยท Hybrid

$106K - $139K/yr

Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must ... engineering, change management, and performance validation for AI training, inference, HPC, and ...

Associate DevOps Engineer

Austin, TX ยท On-site

$100K - $115K/yr

Its AI-powered Connected Intelligence Platform unifies security operations and data into a ... Who You Are As an Associate DevOps Engineer at Ontic, you will join our growing engineering team to ...

New

Associate Data Engineer 2027

Austin, TX ยท On-site

$113K - $136K/yr

... strategy, AI adoption, and process redesign - working alongside a global cohort of diverse ... Your role and responsibilities As an Associate Data Engineer at IBM you will harness the power of ...

Showing results 21-40

Associate Ai Engineer information

See Austin, TX salary details

$41.1K

$81.9K

$130.8K

How much do associate ai engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for associate ai engineer in Austin, TX is $81,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $94,100.00 per year, depending on experience, location, and employer.

What does an Associate AI Engineer do?

An Associate AI Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers to build machine learning algorithms, preprocess data, and test AI solutions. Their responsibilities often include writing code, evaluating model performance, and collaborating with data scientists and software developers. This entry-level role provides hands-on experience in AI technologies and helps build a foundation for more advanced engineering positions.

What are the key skills and qualifications needed to thrive as an Associate AI Engineer?

To thrive as an Associate AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, probability, statistics), and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms such as AWS or Google Cloud are typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help distinguish top performers in this role. These skills and qualities are essential for successfully developing, implementing, and maintaining AI solutions in a collaborative and rapidly evolving environment.

What are some common challenges an Associate AI Engineer may face when working on real-world machine learning projects?

As an Associate AI Engineer, you may encounter challenges such as handling imperfect or limited datasets, balancing model performance with computational constraints, and integrating AI solutions into existing products. Collaboration with data scientists, software engineers, and product managers is crucial to refine objectives and ensure technical feasibility. Additionally, keeping up with evolving AI frameworks and best practices can be demanding, but it provides valuable learning opportunities and skill growth.

What is the difference between Associate Ai Engineer vs Data Scientist?

AspectAssociate Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, startups, R&D teams; focus on AI model developmentResearch labs, tech firms, finance; focus on data analysis and modeling
Employer & Industry UsageAI-focused roles in tech, healthcare, financeData analysis across industries like marketing, finance, healthcare

Associate Ai Engineers typically focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Associate Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

How much do entry level associate AI engineers make?

Entry-level associate AI engineers typically earn between $70,000 and $90,000 annually, depending on location, education, and company size. Starting salaries may also include benefits such as health insurance and opportunities for skill development in machine learning tools and programming languages like Python or TensorFlow.

Is there a demand for associate AI engineers?

There is a strong and growing demand for associate AI engineers as industries increasingly adopt artificial intelligence and machine learning technologies. Entry-level roles often require knowledge of programming languages like Python, familiarity with AI frameworks, and relevant certifications, making it a promising career path for those with technical skills and a background in data science or software development.

What jobs can you get with an associate AI engineer?

An associate AI engineer can qualify for roles such as AI developer, machine learning technician, data analyst, or AI support specialist. These positions typically require knowledge of programming languages like Python, familiarity with AI frameworks, and understanding of data processing. Entry-level roles often involve assisting in developing, testing, and maintaining AI models and systems.

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

The most popular types of Ai Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Associate Ai Engineer jobs?

Cities near Austin, TX with the most Associate Ai Engineer job openings:

Infographic showing various Associate Ai Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $81,910 per year, or $39.4 per hour.

Associate Data Engineer / AWS Developer (Biometric Data Platform) / Remote

Apetan Consulting llc

Austin, TX โ€ข On-site

$40 - $45/hr

Contractor

Re-posted 7 days ago


Job description

Role: Associate Data Engineer / AWS Developer (Biometric Data Platform)Location: Fremont, CA or Austin, TX – Remote  

Job Overview

We are looking for a Junior/Associate Data Engineer to support the development of an AWS-based data management platform for a Biometric AI R&D team. This is an excellent opportunity for a recent graduate or someone with 3-5 years of experience who is interested in cloud technologies, AI, and data engineering.

Biometric experience is Preferred. The ideal candidate should have a Computer Science or Information Systems background with strong AWS fundamentals and hands-on project experience building cloud-based applications.

Key Responsibilities
  • Build an AWS-based data repository for AI research.
  • Develop and manage data storage using Amazon S3.
  • Design and maintain metadata tracking for datasets.
  • Build simple REST APIs to support internal applications.
  • Organize and prepare datasets for AI/ML engineers.
  • Develop lightweight internal tools for data management.
  • Support cloud application development and data workflows.
Required Skills
  • 3-5 years of experience in software or data engineering.
  • Strong understanding of AWS fundamentals.
  • Experience with Amazon S3.
  • Python programming experience.
  • Basic knowledge of REST APIs.
  • Familiarity with Git/GitHub.
  • Understanding of data management concepts.
  • Strong problem-solving and analytical skills.
  • Knowledge of AWS Lambda, API Gateway, or DynamoDB.
  • Exposure to AI/ML projects.
  • Familiarity with SQL.
  • Personal, academic, or internship projects involving cloud application development.

Preferred Titles

  • Associate Data Engineer
  • Junior Data Engineer
  • Data Engineer I
  • Cloud Data Engineer
  • Data Management Analyst
  • Junior Python Developer
  • Data Platform Associate
Education
  • BS/MS in Computer Science
  • MS in Information Systems
  • MS in Data Engineering
  • MS in Data Science
  • Software Engineering