Associate Professional Services Consultant Intern 2027
Amazon is hiring an Associate Professional Services Consultant Intern 2027 in London, United Kingdom. Level rates it ; you can apply on Level.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include Bedrock, AWS and Cloud Computing.
- Level files it as an internship.
- Level lists 22,000+ other open roles at Amazon.
- The role was posted within the past two weeks.
AI in this role
Intern role engaging with cloud computing, machine learning, and GenAI technologies to build customer solutions.
Do you want to experiment with innovative technologies, including Cloud Computing, Machine Learning, and GenAI? Are you passionate about educating, training, designing, and building cloud computing solutions to help customer solve their most challenging problems? Amazon Web Services (AWS), a leader in Cloud Computing, is seeking interns to join our AWS Professional Services Internship program. This is a unique opportunity to play a key role in a fast-growing business and to deliver value to AWS customers of all sizes from startups to global brands. The skills and experiences you gain will be highly sought after throughout the industry and give you the opportunity for the career of a lifetime. The AWS Professional Services organization is a global team of experts that helps AWS customers realize their desired business outcomes when using the AWS Cloud. We deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. In addition to working alongside our customers, we share our experience through technical artifacts and proof of concept demos. As a Professional Services intern, you will gain hands-on experience in cloud computing, develop business acumen, and learn about Amazon’s peculiar culture. You will work on projects, have the opportunity to obtain the AWS certifications, and attend professional development events. This internship can lead to a full-time role in London, that has up to 75% travel associated. While many of our customers engage ProServe virtually, there is always the potential that a customer might choose to include travel in their contract. Upon successful completion of the internship program, selected interns will receive a full-time offer to join the Professional Services and go into our AWS Technical training program. This program is an accelerated career development program for recent graduates and early career professionals entering technical roles to advance their skills and help customers design and build flexible and resilient cloud-based solutions. While in this program, you will learn key technical and professional skills from top AWS subject matter experts that you can use in your career working with AWS’s customers.
Amazon internships are full-time (40 hours/week) for 12 consecutive weeks, starting June 2027. Applicants should have at a minimum one quarter/semester remaining after their internship concludes. This internship role is required to be onsite 5 days a week in London location.
Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. Please note that we are reviewing a high volume of applications and appreciate your patience.
The program offers the opportunity to specialize in an area of interest including:
Application Developer - AppDev resources are specialists in designing applications that run natively in the cloud using programming languages such as Python, JavaScript, Typescript, etc. They are experts in building programs that run on any number of platforms including virtualized instances, containers, or server less architecture. They are full stack developers with backend, frontend, and UX skillsets.
Data & Analytics - Data & Analytics role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial Intelligence/Generative Artificial Intelligence (ML/AI/GenAI). Helping our customers use and integrate Big Data services in what is arguably our industry’s most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), MongoDB, Apache Cassandra, Amazon Q, and Bedrock.
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Harmony
Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment AND WE encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
EMEA AUTA Team
Basic qualifications
- Experience programming in Java, C++, Python or related language
- Speak, write, and read fluently in English at C1 level or above
- Enrolled in a Bachelor degree or greater degree program (e.g. Master degree) in a STEM related field such as Computer Science, Computer Engineering, Information Technology, or other related fields, with a conferral date in 2028.
- Experience with one or more of the following programming languages/technologies: Typescript, React, Angular, Node.js, Ruby, GoLang, R, C, or C++
- Experience with one or more of the following: networking fundamentals, security, databases (relational and/or NoSQL), operating systems (Unix, Linux, and/or Windows)
Preferred qualifications
- Experience with software development lifecycle (SDLC) and agile/iterative methodologies
- Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3
- Basic experience setting up cloud environment with AWS
- Experience with infrastructure as code, ops automation, and configuration management tools such as Chef, Puppet, or Ansible
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Associate Professional Services Consultant Intern 2027 at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where cloud solutions was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where genai was part of your work. What did you do?
- Tell me about a project where consulting was part of your work. What did you do?
- Walk me through how you've used Bedrock in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Cloud Solutions, Machine learning, Genai, Consulting, and Bedrock. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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