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Career Profile

AI engineer

AI engineers build and deploy artificial intelligence systems, turning machine learning models into reliable software that runs in real products and services.
Engineering, Aviation and ScienceIT and Digital
Average weekly salary
$2496
Future demand
Strong
Most common education level
Bachelor degree

What does an AI engineer do?

An AI engineer builds and deploys artificial intelligence systems. They take machine learning models and turn them into reliable software, integrating algorithms, data pipelines and interfaces so AI features work at scale in real products. The role blends software engineering with data and model work, and includes testing, deploying and maintaining these systems once they are live. AI engineers make sure AI is not just built, but runs dependably in production.

AI engineers work across technology companies, banks, government, telecommunications and research organisations, usually in dedicated AI and data teams or in consulting firms that deliver AI solutions. The role is mostly office or hybrid based, and works closely with data scientists and software teams.

Is a career as an AI engineer right for me?

A career as an AI engineer may suit you if you enjoy programming, maths and building things that work at scale. You need strong software and data skills, problem-solving ability, and the patience to test, debug and improve systems.

Other desirable skills and attributes of an AI engineer include:

Adaptability
An ability to manage change positively and perform effectively in changing environments.
Analytical thinking
An ability to analyse and interpret information.
Industry knowledge
A sound awareness and understanding of industry and trends.

Problem-solving and decision-making
The ability to identify issues, evaluate options, and make informed decisions.

Teamwork
An ability to work effectively and collaborate with a range of stakeholders.
Digital and technical capability
Proficiency in using technology, digital tools, and relevant software.

How to become an AI engineer

Most AI consultants start with a bachelor degree in information technology, computer science or a related field, and build strength in programming, data and machine learning. From there, hands-on experience is what turns technical knowledge into consulting ability. Working on real projects, through internships, graduate roles or industry placements, helps you learn how AI performs outside the classroom and how businesses actually make decisions.

Every journey to study is individual, and there are several paths into an artificial intelligence career. Here is just one path you could take to get started:

  1. Complete a bachelor degree in information technology, computer science or a related field, with study in artificial intelligence and data.
  2. Build strong programming, data and machine learning skills.
  3. Work on real projects, through study, personal work or internships.
  4. Learn tools for building and deploying models, such as cloud platforms and pipelines.
  5. Keep learning as AI tools and methods change quickly.

Professional recognition

UniSQ's Bachelor of Information Technology is accredited at professional level by the Australian Computer Society (ACS). Through the Seoul Accord, that recognition also applies in a number of other countries, which can support graduates who want to work internationally.

How long does it take to become an AI engineer?

A bachelor degree in information technology or computer science usually takes three years of full-time study, or longer if you study part-time. Choosing a major such as Artificial Intelligence and Data Science lets you focus on machine learning and data during your degree.

Building the experience to work as an AI engineer usually takes further practice on real projects. Many people move into AI engineering after starting in a software development or data role.

Start your journey with UniSQ

Build the technical foundation for an AI engineering career with a UniSQ information technology degree, developing the skills to design, implement and optimise intelligent systems and data-driven solutions.

Bachelor of Information Technology
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Information Technology degrees
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Responsibilities and work settings

Day-to-day responsibilities

Building and integrating AI and machine learning models into applications.

Developing and maintaining data pipelines.

Deploying models to production and keeping them running reliably.

Testing, monitoring and improving model performance.

Working with data scientists and software teams.

Where you might work

Banks and financial institutions

Cloud computing and IT infrastructure organisations

Data analytics and artificial intelligence organisations

Government agencies, departments and councils

Research institutes and research centres

Software development and technology companies

Telecommunications providers

AI consultant FAQs

An AI consultant's salary in Australia varies with experience, industry, location and qualifications. Because this is an emerging career field, comprehensive salary data is not yet widely available.

AI consulting opens the door to a range of roles across industry, including:

  • AI or machine learning consultants advising organisations on where to apply AI
  • data scientists building and testing models from large datasets
  • data and business analysts turning data into decisions
  • solution or technology consultants designing and delivering systems
  • AI governance and ethics specialists focused on safe, responsible use.

AI consulting is a strong option for people who enjoy technology, problem-solving and working with clients. Demand for AI skills has grown quickly as more organisations adopt these tools, and the work spans almost every industry. A UniSQ information technology degree with a major in Artificial Intelligence and Data Science can give you the technical foundation and industry experience to move into the field.

Demand for AI and data skills in Australia has risen sharply as businesses, government and other organisations look for ways to use these technologies well. Jobs and Skills Australia projects strong growth for many ICT and data occupations, and roles that combine technical AI knowledge with consulting ability are among the harder ones to fill.

Most AI consultants hold a bachelor degree in information technology, computer science or a related field, with study in artificial intelligence, machine learning and data science. There is no single mandatory qualification or licence, so employers usually look for a mix of formal study, technical skill and practical experience. Further study or professional certifications can help as the field changes.

Related careers

Data scientist
Software developer

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Disclaimer: UniSQ’s Career Finder is a guide only. While reasonable care is taken to ensure accuracy, career information may change over time. Career statistics are sourced from Your Career and Jobs and Skills Australia. © Commonwealth of Australia. Licensed under CC BY 4.0. Salary figures listed on this page are in Australian Dollars (AUD).