Tech Sales Engineer Intern — AI, Cloud & Data Solutions

IBM Computing; Washington (District of Columbia); On-site; USD 28,000 - 41,000; Full time

Job summary

IBM is seeking an Entry‑Level Technical Sales Engineer for its Sales Internship Program. You will work with clients and IBM experts to design, demonstrate, and deliver solutions across AI, hybrid cloud, automation, data, and security.

The role blends technical problem‑solving, customer engagement, and business consulting to drive measurable outcomes. You will participate in discovery sessions, build demonstrations, and translate complex concepts into business value for both technical and

Qualifications

• Active undergraduate or graduate student.
• Bachelor’s or Master’s degree completed by start date in CS/Engineering or related field.
• Foundational knowledge of cloud computing, software development, AI, automation, data, or cybersecurity.
• Experience with at least one programming language such as Python, Java, JavaScript, or C++.
• Experience using AI-assisted development tools to prototype or troubleshoot applications.

Responsibilities

• Participate in client discovery sessions to understand objectives and requirements.
• Design and validate technical solution approaches across IBM software, AI, cloud, data, automation, and security.
• Build and deliver demos, proofs of concept, workshops, and technical presentations.
• Translate technical concepts into clear business value for stakeholders.

Skills

Python

Java

JavaScript

C++

Education

Bachelors in CS/Engineering

Masters in CS/Engineering

Tools

AI-assisted tools

Job description

IBM is seeking an Entry‑Level Technical Sales Engineer for its Sales Internship Program. You will work with clients and IBM experts to design, demonstrate, and deliver solutions across AI, hybrid cloud, automation, data, and security.

The role blends technical problem‑solving, customer engagement, and business consulting to drive measurable outcomes. You will participate in discovery sessions, build demonstrations, and translate complex concepts into business value for both technical and