AI Sales Engineer Job Description [Updated for 2024]

ai sales engineer job description

In the era of AI and machine learning, the emphasis on AI Sales Engineers has never been greater.

As technology progresses, the demand for skilled individuals who can develop, promote, and protect our AI sales solutions grows stronger.

But let’s delve deeper: What is really expected from an AI Sales Engineer?

Whether you are:

  • A job seeker trying to understand the core responsibilities of this role,
  • A hiring manager aiming to define the perfect candidate,
  • Or simply interested in the fascinating world of AI sales,

You’ve come to the right place.

Today, we present a customizable AI Sales Engineer job description template, crafted for effortless posting on job boards or career sites.

Let’s dive right into it.

AI Sales Engineer Duties and Responsibilities

AI Sales Engineers are instrumental in bridging the gap between complex artificial intelligence technology and the customers who need them.

They possess a deep understanding of AI and its applications along with excellent sales skills to drive revenue and customer engagement.

AI Sales Engineers are responsible for:

  • Understanding customer requirements and business objectives
  • Presenting and explaining artificial intelligence products to potential clients and assisting them in understanding how these products can fulfill their business needs
  • Collaborating with the sales team to ensure that the product being sold will satisfy the client’s requirements
  • Working closely with developers and engineers to understand the specifics of AI products
  • Creating technical presentations and product demonstrations to explain product features to clients
  • Developing proposals and pricing models based on the client’s requirements
  • Assisting in the creation of custom-made AI solutions based on the client’s specific needs
  • Providing technical support to sales and marketing teams in the organization
  • Training and guiding clients on the use of the AI products after the sale
  • Staying updated with the latest developments in AI technology and its business applications
  • Conducting market research to identify selling possibilities and evaluate customer needs


AI Sales Engineer Job Description Template

Job Brief

We are seeking a dynamic AI Sales Engineer to assist our sales team with technical expertise.

The AI Sales Engineer’s responsibilities include identifying customer needs, developing innovative AI-based solutions, and delivering product demonstrations to potential clients.

Our ideal candidate is not only tech-savvy but also has a strong business acumen and excellent communication skills.

The ability to explain complex AI technologies in simple terms is crucial.

Ultimately, the role of the AI Sales Engineer is to build advanced AI solutions that satisfy customer needs and help drive the sales process.



  • Collaborate with sales team to understand customer requirements and provide sales support
  • Secure technical win by delivering compelling demonstrations and consultations on our AI capabilities
  • Generate technical content to articulate the capabilities and values of our AI product(s)
  • Contribute to bids and tenders with technical inputs
  • Develop proof of concepts (PoCs) and answer technical and security questionnaires
  • Present and explain AI product features to clients and stakeholders
  • Provide feedback to the product development team to ensure customer needs are met
  • Stay up-to-date with the latest advancements in AI technologies and trends



  • Proven work experience as a Sales Engineer or a similar role in the AI field
  • Experience in AI, Machine Learning, Deep Learning, or related technologies
  • Excellent communication and presentation skills
  • Strong problem-solving and analytical thinking abilities
  • Proficiency in software engineering tools and programming languages
  • Understanding of sales and marketing strategies
  • BSc/MSc degree in Computer Science, Engineering, Data Science or a relevant field



  • 401(k)
  • Health insurance
  • Dental insurance
  • Retirement plan
  • Paid time off
  • Professional development opportunities
  • Opportunities to work on the latest AI technologies


Additional Information

  • Job Title: AI Sales Engineer
  • Work Environment: Office setting with options for remote work. Travel may be required for client meetings and demonstrations.
  • Reporting Structure: Reports to the Sales Manager or Business Development Manager.
  • Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
  • Pay Range: $100,000 minimum to $180,000 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 AI Sales Engineer Do?

AI Sales Engineers primarily work for tech companies specializing in Artificial Intelligence (AI) products and solutions.

They bridge the gap between the technical team and clients, ensuring AI-based technologies align with customer needs.

A key part of their role is to understand the potential and capabilities of the AI technology they represent.

They use this understanding to explain technical concepts and AI product functionality to clients or potential clients in a clear, understandable manner.

Their job involves providing technical presentations and demos of the AI technology, and responding to customers’ technical queries during the sales process.

They also collaborate with sales teams to identify prospective clients, develop and deliver sales proposals, and negotiate contracts.

AI Sales Engineers often work closely with the product development team, providing insights from clients to help improve products and services.

They may also be responsible for training customers on how to use the AI product effectively.

In addition, they provide post-sales support, helping clients troubleshoot any issues and ensuring that the AI technology delivers the promised results.

They are also responsible for collecting and analyzing customer feedback to improve future sales and marketing strategies.


AI Sales Engineer Qualifications and Skills

AI Sales Engineers must possess a unique blend of technical and soft skills to effectively communicate the value of AI solutions to customers.

These qualifications and skills include:

  • Strong understanding of AI technologies, concepts, and trends to effectively explain these to customers and potential clients.
  • Excellent communication and presentation skills to articulate complex AI concepts to non-technical stakeholders and demonstrate the practical applications and benefits of AI solutions.
  • Technical sales skills to engage with potential customers, identify their needs, and propose relevant AI solutions that meet their business goals.
  • Problem-solving abilities to identify potential obstacles during the sales process and devise effective strategies to overcome them.
  • Experience in software development and programming languages like Python or Java to understand the technical requirements of AI solutions and guide the development team accordingly.
  • Project management skills to oversee the implementation of AI solutions and ensure they are delivered on time and within budget.
  • Customer service skills to build strong relationships with clients, address their queries and concerns, and ensure their satisfaction with the AI solutions delivered.
  • Knowledge of the AI industry, including competitors, market trends, and emerging technologies to strategically position the company’s AI offerings in the market.


AI Sales Engineer Experience Requirements

An AI Sales Engineer typically starts with a technical background, possibly having a degree in computer science or engineering.

This provides a fundamental understanding of artificial intelligence and machine learning technologies.

Entry-level AI Sales Engineer roles may not require extensive professional experience but they usually require candidates to have completed relevant internships or part-time roles related to AI or technology sales.

A foundation in software development, AI application development, or IT consulting can also be beneficial.

Candidates with 2 to 3 years of experience in a technical role often transition into AI Sales Engineer positions.

They may have held positions such as AI Developer, Machine Learning Engineer or AI Consultant.

These professionals have technical expertise and have begun to develop sales and client management skills.

For candidates with more than 5 years of experience in AI or technology sales, they often come with a strong track record of sales success and customer relationship management.

They may have experience in leading sales teams, developing sales strategies, and managing major accounts.

To excel in this role, candidates must have a deep understanding of AI technologies, excellent communication skills, and a strong sales acumen.

Those with significant experience in both technology and sales are often the most successful.

They are able to bridge the gap between technical teams and customers, simplifying complex AI concepts into digestible information that drives sales.


AI Sales Engineer Education and Training Requirements

AI Sales Engineers typically hold a bachelor’s degree in engineering, computer science, information technology, or a related field.

A strong foundation in artificial intelligence principles and technologies, such as machine learning, natural language processing, and robotics, is crucial for this role.

In-depth knowledge about the sales and marketing process, including negotiation and customer relationship management, is also required.

Some positions may require a master’s degree or professional certification in artificial intelligence, data science, or sales management.

Familiarity with programming languages such as Python, R, and Java, and the ability to work with AI tools and platforms, is often a prerequisite.

Many AI Sales Engineers continue their professional development by participating in ongoing training or achieving additional certifications in the rapidly-evolving fields of AI and machine learning.

This continuous learning demonstrates a dedication to staying abreast of the latest technological advancements, which is invaluable in this role.

Finally, due to the customer-facing aspect of their role, AI Sales Engineers need excellent interpersonal and communication skills, and may benefit from training in these areas if not naturally adept.


AI Sales Engineer Salary Expectations

An AI Sales Engineer can expect to earn an average salary of $112,139 (USD) per year.

However, this figure can vary significantly depending on factors such as years of experience, industry knowledge, the size and location of the employing company, and the complexity of the AI solutions being sold.


AI Sales Engineer Job Description FAQs

What skills does an AI Sales Engineer need?

AI Sales Engineers need to have a strong technical background in artificial intelligence and machine learning, as they will need to understand the products they are selling.

They should also have excellent communication and interpersonal skills, as they will be interacting with clients frequently.

Problem-solving abilities are also crucial, as AI Sales Engineers will often need to provide technical solutions for clients’ issues.


Do AI Sales Engineers need a degree?

While not always a strict requirement, most AI Sales Engineers have a degree in computer science, data science, or a related field.

This educational background provides the technical expertise needed to understand AI technologies and to communicate their benefits effectively to potential buyers.

Some roles may also require a business degree or experience in sales or customer service.


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

An AI Sales Engineer resume should demonstrate a strong technical background in AI and machine learning.

Look for evidence of experience with AI technologies, programming languages, and data analytics tools.

Additionally, the candidate should have experience in a sales or customer service role, with a track record of meeting or exceeding sales targets.

Communication and problem-solving skills should also be highlighted.


What qualities make a good AI Sales Engineer?

A good AI Sales Engineer has a strong technical background, an ability to understand complex AI solutions, and a talent for explaining these solutions in understandable terms to non-technical clients.

They should be proactive, able to anticipate potential client questions or issues, and ready to provide solutions.

A good AI Sales Engineer is also a good listener, ensuring they fully understand a client’s needs before proposing a solution.


Is it difficult to hire AI Sales Engineers?

Given the specialized nature of the AI Sales Engineer role, hiring can be challenging.

The role requires a unique combination of AI technical expertise and sales acumen, which can be difficult to find.

Employers must be ready to offer competitive salaries and benefits, ongoing technical training, and opportunities for career advancement to attract top candidates.



And there you have it.

Today, we’ve demystified the fascinating world of AI sales engineering.


It’s not just about understanding AI.

It’s about driving the AI-powered revolution, one sale at a time.

With our comprehensive AI sales engineer job description template and real-life examples, you’re on the perfect launching pad.

But why hit the brakes now?

Plunge deeper with our job description generator. It’s your ultimate tool to creating precision-crafted job listings or perfecting your professional resume.


Every AI sale is a step towards the future.

Let’s fuel that future. Together.

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