Applied AI Engineer Job Description [Updated for 2025]

In the era of artificial intelligence, the focus on Applied AI Engineers is more pronounced than ever.

As technology continues its relentless advance, the demand for skilled professionals who can design, apply, and secure our AI-driven systems is escalating.

But let’s delve deeper: What is truly expected from an Applied AI Engineer?

Whether you are:

• A job aspirant aiming to understand the core of this role,
• A recruitment manager crafting the perfect candidate profile,
• Or simply fascinated by the inner mechanics of Applied AI Engineering,

You’ve found the right resource.

Today, we present a versatile Applied AI Engineer job description template, devised for effortless posting on job boards or career portals.

Let’s dive right into it.

Applied AI Engineer Duties and Responsibilities

Applied AI Engineers are responsible for implementing and maintaining artificial intelligence models in practical, real-world applications.

They use machine learning algorithms, data modeling, and programming skills to create, test, and deploy AI systems.

Their duties and responsibilities include:

• Design, develop, and implement artificial intelligence models into software applications, networks, and data systems.
• Analyze and interpret complex data structures to create AI algorithms.
• Test and refine AI models and systems to ensure high levels of accuracy and performance.
• Utilize machine learning and data mining techniques to create efficient solutions to complex problems.
• Collaborate with data scientists and other stakeholders to understand the requirements and constraints of an AI project.
• Maintain AI systems, troubleshoot issues, and implement updates and enhancements as needed.
• Continuously research and stay updated with the latest AI and machine learning trends and technologies.
• Document AI system processes, procedures, and performance for future reference and troubleshooting.
• Ensure the ethical use of AI and respect for user privacy.

 

Applied AI Engineer Job Description Template

Job Brief

We are seeking a dedicated Applied AI Engineer to design, develop, and implement artificial intelligence solutions.

Your responsibilities will include understanding the needs of our clients, designing AI models, coordinating with the engineering team, integrating AI models into company platforms, and ensuring they operate correctly.

The ideal candidate should be well-versed in machine learning, deep learning, and have a strong understanding of software development.

You should be able to create high-quality AI systems that align with our business and product goals.

 

Responsibilities

• Design, develop and implement AI models
• Analyze and adapt existing AI models to meet clients’ requirements
• Collaborate with the engineering team to integrate AI models into platforms and make them functional
• Stay updated with the latest AI trends and technologies
• Conduct testing and quality assurance to ensure models are working as intended
• Document AI processes, including all stages of design, development, and deployment
• Provide AI expertise to the team and assist in training where necessary
• Make sure AI solutions meet industry standards and best practices

 

Qualifications

• Proven experience as an AI Engineer or similar role
• Solid understanding of machine learning, deep learning, and algorithms
• Experience in programming languages such as Python, Java or C++
• Familiarity with AI frameworks (like TensorFlow or PyTorch) and libraries (like scikit-learn)
• Good knowledge of data structures and data modeling
• Experience with databases, big data infrastructure, and data wrangling
• Strong analytical and problem-solving skills
• A degree in Computer Science, Data Science, Artificial Intelligence, or a related field

 

Benefits

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

 

Additional Information

• Job Title: Applied AI Engineer
• Work Environment: This role is based in our office 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 Project Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $150,000 minimum to $250,000 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 Applied AI Engineer Do?

Applied AI Engineers are employed in various industries ranging from healthcare, finance, retail, to technology firms, where they apply artificial intelligence models to solve real-world problems.

These professionals primarily design and build AI models using machine learning algorithms and deep learning neural networks.

They work on data collection and data cleaning processes to ensure the data used for these models is accurate and relevant.

Applied AI Engineers also work on optimizing AI software and systems, and they play a key role in implementing and maintaining AI infrastructure.

This involves continuous testing, refining, and tweaking of AI systems to improve performance and efficiency.

Moreover, they collaborate with other team members like Data Scientists, Software Engineers, and IT professionals to integrate AI models into existing software and hardware systems.

They also ensure the AI application aligns with the company’s objectives and client needs.

Furthermore, Applied AI Engineers keep themselves updated with the latest AI trends and technologies.

They are also involved in researching new methodologies and techniques to apply AI in innovative ways, aiming to provide the most effective solutions to business problems.

They also need to document all procedures and code changes, and create reports explaining their AI models, their performances, and how they contribute to meeting business objectives.

 

Applied AI Engineer Qualifications and Skills

Applied AI Engineers require a blend of technical expertise, innovative thinking, and industry-specific knowledge to develop and implement advanced artificial intelligence systems.

Their skills and qualifications may include:

• Proficiency in programming languages like Python, Java, C++, or R, used in AI and machine learning applications.
• Strong understanding of machine learning algorithms and deep learning, along with the ability to implement them effectively.
• Problem-solving and analytical skills to understand complex issues and develop logical and efficient AI solutions.
• Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Keras.
• Knowledge of data structures, data modeling, and software architecture.
• Ability to develop predictive models and fine-tuning their performance.
• Excellent communication skills to collaborate with various stakeholders, explaining complex AI concepts in understandable language.
• Strong research skills that allow them to stay updated with the latest AI trends and technologies.
• Experience in applying AI solutions in practical, real-world scenarios in the relevant industry.
• Understanding of ethical considerations related to AI application.

 

Applied AI Engineer Experience Requirements

For entry-level Applied AI Engineer roles, candidates typically require 1 to 2 years of experience, which can be gained through internships or part-time roles in AI-related fields.

This practical experience can involve working on AI algorithms, machine learning models, and data science projects.

Candidates seeking more advanced positions are often expected to have at least 3 to 5 years of experience working in the field of AI engineering.

They should have a proven record of developing and deploying AI models and algorithms in real-world applications.

This experience could be gained in roles such as Data Scientist, Machine Learning Engineer, or AI Researcher.

For senior or lead Applied AI Engineer roles, employers usually require more than 5 years of hands-on experience.

These professionals should have extensive experience in project management and team leadership, as well as strong expertise in AI and machine learning technologies.

Additionally, continuous learning and staying updated with the latest AI technologies and techniques is crucial in this rapidly evolving field.

Therefore, experience in relevant research, participation in AI-related competitions, and published work in AI can also be a significant advantage.

 

Applied AI Engineer Education and Training Requirements

Applied AI Engineers typically hold a bachelor’s degree in computer science, artificial intelligence, data science, or a related field.

They need to have a strong foundation in areas such as computer programming, machine learning, neural networks, and data analytics.

Familiarity with programming languages such as Python, Java, C++, and R is essential.

Many positions may require Applied AI Engineers to have a master’s degree or a doctorate in artificial intelligence or related fields.

A postgraduate degree not only provides advanced knowledge about AI but also equips the candidate with practical skills through research and project work.

Applied AI Engineers may also require certifications in machine learning, deep learning, or other AI specializations.

These certifications, often offered by tech companies like Google, IBM, or Microsoft, validate the candidate’s skills and knowledge in the specific field.

Continuing education is crucial in this role due to the rapid advancements in AI technology.

Therefore, Applied AI Engineers need to commit to ongoing learning, whether through professional development courses, workshops, or self-study.

In addition, real-world experience through internships or projects is highly beneficial, as it provides hands-on exposure to AI applications.

A strong portfolio showcasing AI projects can give candidates an edge over others.

 

Applied AI Engineer Salary Expectations

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

The actual salary can fluctuate depending on factors such as years of experience, level of education, geographical location, and the specific industry in which they work.

 

Applied AI Engineer Job Description FAQs

What skills does an Applied AI Engineer need?

Applied AI Engineers need a strong background in computer science and programming, with specific knowledge in Python, Java or C++.

They should also have a deep understanding of AI concepts such as machine learning, deep learning, and neural networks.

Additionally, they should have problem-solving skills, analytical thinking, and the ability to work in a team.

Understanding of data structures, data modeling and software architecture is also vital.

 

Do Applied AI Engineers need a degree?

Typically, an Applied AI Engineer should have a Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field.

Some employers may accept equivalent experience in lieu of a degree.

Further, many Applied AI Engineers also have advanced degrees or special certifications in AI or machine learning.

 

What should you look for in an Applied AI Engineer resume?

In an Applied AI Engineer’s resume, look for a strong educational background in a relevant field and experience in AI-related projects.

They should have proficiency in programming languages, especially Python, and in using AI and machine learning frameworks like TensorFlow or PyTorch.

Experience in dealing with large datasets, knowledge of cloud platforms, and a portfolio demonstrating previous AI projects or research can be additional indicators of a strong candidate.

 

What qualities make a good Applied AI Engineer?

A good Applied AI Engineer has a passion for AI and stays up-to-date with the latest AI research and technologies.

They have strong problem-solving skills, are able to innovate and think creatively, and can work well in a team.

Excellent communication skills are also essential, as they often need to explain complex AI concepts to non-experts.

 

Is it difficult to hire Applied AI Engineers?

Given the specificity and the level of expertise required, hiring Applied AI Engineers can be challenging.

The demand for AI professionals is high, but the supply of qualified candidates is relatively low.

To attract top talent, companies often need to offer competitive salaries, professional development opportunities, and exciting, innovative projects.

 

Conclusion

And there you have it.

Today, we’ve delved deep into the fascinating world of Applied AI Engineering.

Guess what?

It’s not just about programming AI models.

It’s about shaping the AI-driven future, one algorithm at a time.

With our comprehensive Applied AI Engineer job description template and real-world examples, you’re primed to take the next big step.

But why halt your journey here?

Dig deeper with our job description generator. It’s your ladder to meticulously crafted listings or tweaking your resume to its finest.

Remember:

Every AI model you build contributes to the grand scheme of things.

Let’s construct the AI-empowered future. Together.

How to Become an Applied AI Engineer (Complete Guide)

The World’s Riskiest Roles: A Look at the Jobs That Test Human Limits

Rising Stars: The Trending Careers to Watch in 2025

Bizarrely Brilliant: The Most Unusual Careers in the World

Effortless Income: Easy Jobs That Are Secretly Lucrative!