Artificial Intelligence Engineer Job Description [Updated for 2025]

In the era of technological advancement, the need for artificial intelligence engineers has skyrocketed.

As technology evolves, there is an increasing demand for skilled individuals who can design, develop, and maintain our artificial intelligence systems.

So, what exactly is expected from an artificial intelligence engineer?

Whether you are:

• A job seeker eager to understand the core of this role,
• A hiring manager outlining the perfect candidate,
• Or simply captivated by the intricacies of artificial intelligence engineering,

You have come to the right place.

Today, we present a customizable artificial intelligence engineer job description template, designed for seamless posting on job boards or career sites.

Let’s delve right into it.

Artificial Intelligence Engineer Duties and Responsibilities

Artificial Intelligence Engineers are responsible for understanding complex AI models and algorithms, creating and maintaining AI systems, and ensuring these systems meet business requirements.

They have the following duties and responsibilities:

• Design, develop, and maintain Artificial Intelligence enabled management systems
• Understand business requirements and identify possible AI applications to solve business problems
• Collaborate with data engineers to design and implement optimal data architectures for AI models
• Use machine learning and AI techniques to build models that solve business problems
• Perform testing and debugging of AI applications
• Monitor and adjust AI systems to ensure optimal performance and accuracy
• Stay updated with the latest research in AI and implement new techniques as appropriate
• Document AI development processes and maintain records for future reference
• Communicate complex AI concepts to non-technical stakeholders
• Maintain knowledge of ethical, legal, and societal implications surrounding AI

 

Artificial Intelligence Engineer Job Description Template

Job Brief

We are looking for a skilled Artificial Intelligence Engineer to help us develop sophisticated AI systems and applications.

Responsibilities include designing and developing artificial intelligence models, understanding business problems to propose effective AI solutions, and enhancing the performance of existing AI systems.

Our ideal candidates should be proficient in machine learning and deep learning concepts, as well as common AI frameworks and libraries.

Ultimately, the role of the AI engineer is to build high-quality, efficient and robust AI systems that drive growth and improve business operations.

 

Responsibilities

• Design and develop AI models and applications.
• Translate business problems into AI solutions.
• Work with data scientists to transform data science prototypes into high-performance production applications.
• Implement algorithms to enhance the performance of AI systems.
• Keep abreast of developments in AI and propose and implement new innovative solutions.
• Collaborate with stakeholders to identify opportunities for leveraging company data to drive business solutions.
• Maintain and optimize AI systems for performance.
• Ensure AI systems align with organizational goals.

 

Qualifications

• Proven experience as an AI Engineer or similar role
• Understanding of machine learning, deep learning, data mining, and algorithms.
• Proficiency in programming languages like Python, Java and R
• Familiarity with AI frameworks (like TensorFlow or PyTorch) and libraries (like scikit-learn)
• Strong math skills (e.g. statistics, algebra)
• Experience with cloud platforms (e.g. AWS, GCP)
• BSc degree in Computer Science, Engineering or a related field

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Artificial Intelligence Engineer
• Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or client consultations.
• Reporting Structure: Reports to the Lead AI Engineer or AI Development Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $137,783 minimum to $232,041 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does an Artificial Intelligence Engineer Do?

Artificial Intelligence Engineers typically work within the tech industry, often as part of a larger team comprising data scientists, machine learning engineers, and software developers.

They also find work in a wide range of other industries like healthcare, finance, and logistics where AI technologies are increasingly adopted.

Their primary role involves designing and implementing AI models.

This process includes training, testing, and tuning these models to ensure their accuracy and efficiency.

They use various machine learning algorithms and deep learning neural networks to create AI systems capable of learning from data, making predictions, and automating decision processes.

AI Engineers also have a key role in data management.

They deal with large volumes of data (big data) which are often unstructured.

They must build data pipelines to collect, clean, and feed data into AI models.

Additionally, they work on optimizing the AI environment for better performance and also developing APIs to help other applications access the AI system.

Their work isn’t just about creating new systems; they are also responsible for maintaining and improving existing AI systems, troubleshooting issues, and adapting systems to new data or objectives.

They often work closely with stakeholders to understand their requirements, explain the capabilities and limitations of AI models, and ensure the systems developed meet the intended business needs.

In a rapidly evolving field like AI, they are expected to stay up-to-date with the latest research and trends, and to continually enhance their skills with new tools and techniques.

 

Artificial Intelligence Engineer Qualifications and Skills

Artificial Intelligence Engineers should possess a mix of technical skills, analytical skills, and industry knowledge to design and implement artificial intelligence models and systems.

Here are the specific skills and qualifications that an AI Engineer should have:

• Deep knowledge of programming languages like Python, R, and Java, and the ability to write algorithms and data structures.
• Proficiency in machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Keras.
• Understanding of Mathematics and Statistics to design and implement complex AI models.
• Expertise in Natural Language Processing, Computer Vision, and Neural Networks.
• Experience with distributed computing technologies like Hadoop and Spark to handle large datasets and complex computations.
• Problem-solving and analytical skills to understand complex problems, and design and implement AI solutions accordingly.
• Excellent communication skills to work with cross-functional teams, explain complex AI concepts to non-technical stakeholders and translate business needs into AI solutions.
• Attention to detail and ability to work on multiple tasks simultaneously while ensuring accuracy and efficiency.
• Knowledge of cloud platforms like AWS, Google Cloud, or Azure for deploying AI models.
• Understanding of data privacy, ethics, and other regulations associated with artificial intelligence.

 

Artificial Intelligence Engineer Experience Requirements

Entry-level Artificial Intelligence Engineers typically have between 1 to 2 years of relevant experience, which may be gained through internships, co-op positions, or part-time roles in AI development or related fields like Machine Learning, Data Science, or Robotics.

Professionals may also accumulate initial experience through roles such as Data Analyst, Software Developer, or even Research Assistant in AI labs.

Familiarity with programming languages like Python, Java, or R, as well as experience with AI-related platforms and libraries such as TensorFlow, PyTorch, or Keras, can significantly strengthen an entry-level AI engineer’s profile.

Candidates with more than 3 years of experience often have developed their technical skills and gained a solid understanding of AI algorithms, neural networks, and deep learning techniques.

They typically have experience in designing and implementing AI models, solving complex AI problems, and working with big data platforms.

Those with over 5 years of experience usually have not only an advanced level of AI engineering skills but also may have led projects or teams.

They might be ready for a senior or managerial role, where they oversee AI development strategies, guide teams, and communicate with stakeholders.

Experience with managing cloud infrastructure and services, as well as familiarity with AI ethical considerations and regulations, are often part of the job requirements at this level.

 

Artificial Intelligence Engineer Education and Training Requirements

Artificial Intelligence Engineers often have a bachelor’s degree in computer science, software engineering, or a related field.

In-depth knowledge in mathematics, cognitive science theory, and a strong background in programming is critical.

They should be familiar with programming languages such as Python, Java, and R.

Given the complexity and specialization of the field, many AI Engineers also hold a master’s degree or a Ph.D. in artificial intelligence, data science, or machine learning.

Moreover, many AI Engineers obtain certifications in technologies like TensorFlow, IBM Watson, or Microsoft Azure to enhance their skills.

Understanding of ML algorithms, deep learning protocols, and proficiency in predictive modeling is crucial.

Some positions may require AI Engineers to have experience in cloud platforms and natural language processing.

Continuing education and staying abreast of the latest advancements in AI technology are highly essential in this rapidly evolving field.

This indicates a candidate’s commitment to continuous learning and potential for innovation.

 

Artificial Intelligence Engineer Salary Expectations

An Artificial Intelligence Engineer can expect an average salary of $112,806 (USD) per year.

However, this figure can fluctuate based on factors such as work experience, level of education, and the geographical area where the job is located.

Moreover, the employing company’s size and industry can also influence the earnings of an AI Engineer.

 

Artificial Intelligence Engineer Job Description FAQs

What skills does an Artificial Intelligence Engineer need?

An Artificial Intelligence Engineer should have strong programming skills in languages such as Python, R, Java or C++.

They should be proficient in machine learning algorithms and deep learning frameworks.

Expertise in data pre-processing, data mining, and research methods is also required.

Additionally, good problem-solving skills, analytical thinking, and a strong understanding of software development and computer science fundamentals are crucial.

 

Do Artificial Intelligence Engineers need a degree?

Yes, most Artificial Intelligence Engineers have a Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or a related field.

However, due to the complex nature of the work, many employers prefer candidates with a Master’s degree or Ph.D. in these fields.

Also, continuous learning is important in this role due to the rapidly evolving nature of AI technologies.

 

What should you look for in an Artificial Intelligence Engineer resume?

Look for a strong educational background in relevant fields like computer science, data science, or artificial intelligence.

Also, pay attention to hands-on experience with machine learning algorithms, programming languages, and AI-related software and libraries.

Any projects or work experience that involve problem-solving, analytical thinking, and applying AI to real-world scenarios should be highlighted.

 

What qualities make a good Artificial Intelligence Engineer?

A good Artificial Intelligence Engineer must have strong technical and analytical skills, creativity, and the ability to work as part of a team.

They need to stay updated with the latest AI trends and technologies.

Given the interdisciplinary nature of AI, they also need to communicate effectively with team members from different backgrounds and understand the business impact of their work.

 

Is it difficult to hire Artificial Intelligence Engineers?

Yes, hiring Artificial Intelligence Engineers can be challenging because of the high demand and shortage of qualified candidates in the field.

Employers need to provide competitive salaries, exciting projects, and opportunities for continuous learning and growth to attract top talent.

 

Conclusion

So there we have it.

Today, we’ve unraveled the complexities of what it means to be an artificial intelligence engineer.

Surprised?

It’s not just about programming algorithms.

It’s about designing intelligent systems, one AI model at a time.

With our comprehensive artificial intelligence engineer job description template and real-world examples, you’re ready to take the leap.

But why end here?

Explore further with our job description generator. It’s your go-to resource for creating precise job listings or fine-tuning your resume to stand out.

Remember:

Every AI model contributes to the larger vision.

Let’s shape the future of artificial intelligence. Together.

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