AI Solutions Architect Job Description [Updated for 2024]

ai solutions architect job description

In the era of artificial intelligence, the focus on AI Solutions Architects is more crucial than ever.

As technology continues to evolve, the need for skilled professionals who can design, implement, and maintain our AI systems becomes even more pressing.

So, let’s dive deeper: What’s truly expected from an AI Solutions Architect?

Whether you are:

  • A job seeker looking to understand the core of this role,
  • A hiring manager outlining the perfect candidate,
  • Or simply fascinated by the intricacies of AI architecture,

You’ve come to the right place.

Today, we present a customizable AI Solutions Architect job description template, crafted for convenient posting on job boards or career sites.

Let’s get started.

AI Solutions Architect Duties and Responsibilities

AI Solutions Architects use their expert knowledge in artificial intelligence and machine learning along with their architectural skills to design, develop and implement AI applications and solutions as per the needs of the organization or client.

They have the following duties and responsibilities:

  • Analyze the needs of the client or organization and determine how AI solutions can best meet those needs
  • Design, build, and test AI models to ensure they function as expected
  • Develop AI software and platforms to meet specific needs
  • Oversee and guide the implementation of AI solutions within the organization or for the client
  • Work with data scientists and other stakeholders to ensure AI solutions are effectively integrated and utilized
  • Monitor the performance of AI systems and make necessary adjustments
  • Stay updated with latest developments and advancements in AI and machine learning
  • Provide technical leadership and guidance on AI matters
  • Document the architecture and design of AI solutions for future reference and maintenance
  • Ensure compliance with data privacy and protection regulations when building and implementing AI solutions


AI Solutions Architect Job Description Template

Job Brief

We are currently seeking an experienced AI Solutions Architect to join our team.

The ideal candidate will be responsible for designing, developing, and implementing artificial intelligence (AI) solutions that align with our business needs and goals.

You will work closely with various teams, including data scientists, engineers, and business stakeholders, to identify and meet the necessary AI and machine learning (ML) requirements.



  • Design, develop, and implement AI applications.
  • Collaborate with data scientists and engineers to translate requirements into AI architecture and systems.
  • Recommend appropriate tools, technologies, and methodologies for AI development projects.
  • Evaluate and optimize AI systems and applications to ensure efficiency and effectiveness.
  • Stay abreast of the latest developments in AI and ML fields.
  • Ensure compliance with AI ethical guidelines and standards.
  • Provide technical leadership and support to the AI development team.
  • Coordinate with business stakeholders to understand their goals and determine how AI technologies can be leveraged to meet these goals.



  • Proven experience as an AI Solutions Architect or similar role in AI/ML development projects.
  • Deep understanding of AI, ML, deep learning, and data science concepts.
  • Experience with programming languages such as Python, R, or Java.
  • Experience with AI/ML platforms and tools such as TensorFlow, Keras, PyTorch, or similar.
  • Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
  • Excellent problem-solving and analytical skills.
  • Strong communication and team management skills.
  • Master’s degree in Computer Science, AI, ML, or a related field is preferred.



  • 401(k) with company match
  • Comprehensive health insurance
  • Dental and vision insurance
  • Retirement plan
  • Paid time off
  • Professional development and continuous learning opportunities


Additional Information

  • Job Title: AI Solutions Architect
  • Work Environment: Office environment with options for remote work. Travel may be required for meetings or presentations.
  • Reporting Structure: Reports to the Director of AI or Chief Technology Officer.
  • 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 detailing your qualifications and experience to [email address or application portal].


What Does an AI Solutions Architect Do?

AI Solutions Architects primarily work in the tech industry, specifically in the realm of artificial intelligence.

They work for corporations, software firms, or as self-employed individuals providing AI solutions.

Their main role is to design, build, and implement artificial intelligence models tailored to their clients’ needs.

They work closely with data scientists, machine learning engineers, and other IT professionals to create AI systems that can automate processes, analyze large volumes of data, or even predict future trends.

AI Solutions Architects are responsible for understanding client requirements, developing AI strategies, and translating them into specific architectural designs.

They also ensure that these designs integrate seamlessly with existing systems and meet the client’s objectives.

They may also conduct tests, fine-tune AI systems, and provide ongoing support and maintenance to ensure system stability and effectiveness.

They continually update their knowledge and skills in the field of AI to address evolving client needs and technological advancements.

Moreover, they are often involved in training other team members and clients on using the designed AI systems and ensuring compliance with ethical AI practices.


AI Solutions Architect Qualifications and Skills

An AI Solutions Architect must possess a wide array of technical skills, soft skills, and industry knowledge to design and implement effective AI solutions:

  • Strong understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts, algorithms, and tools to design and develop AI solutions.
  • Experience with programming languages such as Python, Java, or R, and familiarity with AI and ML libraries and frameworks such as TensorFlow, PyTorch or Keras.
  • Knowledge of cloud platforms like AWS, Google Cloud, or Microsoft Azure, which offer AI capabilities.
  • Ability to design, build, and manage data models, algorithms, and Machine Learning systems.
  • Strong problem-solving skills to identify and rectify issues that may arise during the implementation of AI solutions.
  • Excellent communication and presentation skills to explain complex AI concepts and solutions to non-technical stakeholders and team members.
  • Strong project management skills to coordinate with different teams and ensure the successful execution of AI projects.
  • A keen attention to detail and the ability to work on multiple aspects of an AI solution simultaneously.
  • Good understanding of data privacy and security principles to ensure AI solutions comply with relevant laws and regulations.


AI Solutions Architect Experience Requirements

AI Solutions Architects typically have at least 3 to 5 years of experience in a related technical field such as computer science, software engineering, or data science.

This provides them with the essential knowledge of programming languages, data structures, algorithms, and software design necessary for this role.

In addition to this, they should have proven experience working with artificial intelligence technologies, including machine learning, deep learning, and neural networks.

Candidates often gain this experience through roles such as Machine Learning Engineer, Data Scientist, or AI Specialist.

Candidates aiming for this role must also have experience designing and implementing AI solutions to real-world problems.

This could be through previous roles as a Solutions Architect, AI Engineer, or similar positions.

Those with more than 5 years of experience in AI-related roles often bring in-depth domain expertise and understanding of the AI landscape.

They may also have experience in leading teams, which is beneficial for positions that require overseeing AI projects and teams.

In addition, experience with cloud platforms such as AWS, Azure, or Google Cloud, and tools such as TensorFlow, PyTorch, or Keras are highly valued, as these are often used in the development and deployment of AI solutions.


AI Solutions Architect Education and Training Requirements

AI Solutions Architects generally hold a bachelor’s degree in computer science, artificial intelligence, machine learning, or a related field.

They should have a strong understanding of programming languages such as Python, R, Java, and others that are typically used in AI development.

Knowledge of cloud platforms like Azure, AWS, or Google Cloud is also beneficial.

Many positions require an AI Solutions Architect to have a master’s degree or Ph.D. in a related field, demonstrating advanced knowledge in AI principles and technologies.

This advanced education can give them the necessary expertise to design and build effective AI solutions.

It’s also advisable for these professionals to pursue certifications related to AI or cloud platforms.

Certifications like Microsoft Certified: Azure AI Engineer Associate, AWS Certified Machine Learning Specialty, or Google Professional Machine Learning Engineer can provide validation of their skills and expertise.

In addition to formal education and certifications, AI Solutions Architects should also demonstrate a commitment to continuous learning due to the rapid pace of advancements in AI and machine learning technologies.


AI Solutions Architect Salary Expectations

An AI Solutions Architect can expect to earn an average salary of $136,500 (USD) per year.

This salary can vary depending on factors such as years of experience, location, and the size and type of the employing company.

Additionally, highly experienced AI Solutions Architects working in competitive markets or in large tech firms may command significantly higher salaries.


AI Solutions Architect Job Description FAQs

What skills does an AI Solutions Architect need?

AI Solutions Architects should possess strong programming skills, particularly in Python, R, and Java, and be well-versed in AI technologies and frameworks like TensorFlow, PyTorch, or Keras.

They should have a solid understanding of machine learning algorithms and proficiency in cloud platforms like AWS, Google Cloud, or Azure.

Additionally, they should have excellent problem-solving skills, and the ability to translate business needs into AI solutions.


What is the educational requirement for an AI Solutions Architect?

Most AI Solutions Architects have a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

However, the key is having extensive knowledge and experience in AI, machine learning, deep learning, and cloud technologies.

Certifications such as AWS Certified Solution Architect or Google Cloud Certified – Professional Cloud Architect can be beneficial.


What should you look for in an AI Solutions Architect’s resume?

Look for a strong background in AI, machine learning, and cloud computing.

They should have experience designing and implementing AI solutions for various business needs.

Familiarity with different programming languages, AI frameworks and tools, and data architectures is crucial.

Also, look for problem-solving skills and the ability to work in a team environment.


What qualities make a good AI Solutions Architect?

A good AI Solutions Architect should be innovative and forward-thinking, capable of designing and implementing cutting-edge AI solutions.

They need to be good problem solvers, able to analyze a business problem and come up with an effective AI-based solution.

Strong communication skills are also essential as they need to liaise between the technical team and business stakeholders.


Is it difficult to hire AI Solutions Architects?

Hiring AI Solutions Architects can be challenging due to the highly specialized skills and experience required for the role.

The high demand for these professionals in various industries also makes it a competitive field.

Companies need to provide competitive salaries, opportunities for growth, and engaging AI projects to attract top talent.



And there you have it.

Today, we have demystified the role and responsibilities of an AI Solutions Architect.


It’s not just about designing systems.

It’s about pioneering the AI-driven future, one solution at a time.

With our detailed AI Solutions Architect job description guide and real-world examples, you’re ready to take your next step.

But why limit yourself?

Go beyond the surface with our job description generator. It’s your ideal companion for creating meticulously tailored job listings or fine-tuning your CV to perfection.


Every AI solution is a step towards a smarter future.

Let’s shape that future. Together.

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