Amazon
Associate Delivery Consultant Intern, AWS Professional Services
$103K–$114K
Arlington, VA +1 · Internship · Posted Oct 21, 2026
- Location
- Arlington, VA
New York, NY - Experience
- Experience with Java and Python; two or more listed areas (networking, security, storage/databases, operating systems); and one or more additional listed programming languages/technologies. No years specified.
- Education
- Currently enrolled in a bachelor’s or higher degree program in a STEM-related field; conferral date between December 2027 and June 2028.
About the job
Supports AWS customers in designing and building cloud solutions, with the internship focused on the AIML specialty and customer delivery.
What you'll do
- Work on cloud computing projects and help customers use and integrate AWS services for business insights.
- Develop cloud and professional skills through hands-on work, training, mentorship, and professional development.
- Create or contribute to technical artifacts and proof-of-concept demonstrations.
What they ask for
- Be enrolled in a U.S.-based academic program and be at least 18 years old.
- Be enrolled in a STEM-related bachelor’s or higher degree program, with a conferral date between December 2027 and June 2028.
- Have experience with two or more of: networking fundamentals, security, storage or databases, or operating systems.
- Have experience with Java and Python, and with at least one of: Typescript, React, Angular, Node.js, Ruby, GoLang, R, C, or C++.
Nice to have
- Experience with software development life cycle and agile/iterative methodologies; setting up an AWS cloud environment; or knowledge of primary AWS services.
- Experience with infrastructure as code, ops automation, and configuration management tools such as Chef, Puppet, or Ansible.
Pay
103,275.00 USD annually (base salary); 113,645.00 USD annually (base salary)
Tools
AWS, EMR (Hadoop), DynamoDB (NoSQL), MongoDB, Apache Cassandra, Amazon Q, Bedrock, Java
AI focus
Internship is aligned to AIML, supporting services that leverage data and produce business insights, potentially using Machine Learning/Artificial Intelligence/Generative Artificial Intelligence (ML/AI/GenAI). The associated full-time program uses generative and agentic AI to address customer challenges.
Model-written summary · the original posting is authoritative