Associate Solutions Architect, AGS-Tech, Early Career - 2027
AI in this role
Early-career Associate Solutions Architect program focused on cloud architecture and AI/ML solutions.
This position is part of an accelerated career development program for those who want to advance both their technical and business skills. This is a unique opportunity for driven, self-starters to play a key role in a fast-growing business, and to deliver significant value to AWS customers of all sizes from nimble startups to global brands. The program will provide you with training and work experience that aligns in the field of technical training. This unique program consists of mentoring by subject matter experts, project-based learning curriculum and experiential learning assignments.
If this sounds exciting to you - come build the future with us!
Program Overview:
This is a structured, cohort-based accelerated development program designed for early career Solutions Architects. You'll join a cohort of peers at one of our hub locations in Arlington VA, Austin TX, or Seattle WA, building a professional network from Day 1.
You'll be embedded in a supportive team with a dedicated mentor, an onboarding buddy, and a manager who guides your technical and professional growth. You'll follow a structured learning journey that develops deep expertise in cloud architecture, AI/ML, and customer-facing solution design. Within weeks, you'll begin working directly with AWS customers — from startups to large enterprises — helping them architect cloud solutions that solve real business problems.
Start Date Details:
This is a cohort-based program where everyone is required to start on the same day. Start dates are tentatively set to occur January 25, 2027.
Key job responsibilities
- Create solutions that address customer business problems and accelerate the adoption of AWS services
- Interface with customer stakeholders, including developers and team leads
- Drive effective feedback gathering from customers, distill and translate feedback into clear business and technical requirements for product and engineering teams
A day in the life
No two days look exactly the same, and that's what makes this role exciting. Your morning might start with a team stand-up where you share wins and learning moments with your cohort and mentor, followed by a hands-on lab building a serverless architecture or working with an AI model on Amazon Bedrock. By midday, you could be on a customer call helping a CTO plan a cloud migration — whiteboarding an architecture, recommending services, and walking them through a proof-of-concept, with your mentor there to support you. In the afternoon, you might attend a technical session led by a senior SA on emerging technology, then spend time working toward your next AWS certification. Later, you'll collaborate with your cohort on a group project — building a customer-facing demo, writing a technical blog post, or preparing for your next development milestone. You'll also have opportunities to participate in leadership development programming and community events that go beyond your core technical work.
About the team
We are intentional about building pathways for early career talent, creating opportunities for people who bring fresh perspectives to cloud technology. This isn't a "sink or swim" program — you'll have a dedicated mentor who coaches you throughout the program, an onboarding buddy to help you navigate Amazon culture, and a manager focused on your development. You'll join a tight-knit cohort culture with regular team activities, peer learning, and social events — our hubs offer collaborative workspaces where you're surrounded by peers and leaders who want to see you succeed. You'll work across industries, customer sizes, and technology domains, giving you a breadth of experience that accelerates your career faster than a traditional single-team placement.
Basic qualifications
- Currently has, or is in the process of obtaining, a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields
- Experience with one of the following programming languages: Python, Ruby, Node.js, C#, or C++
- Experience with AI/ML technologies
- Experience with one or more of the following domains: analytics, security, storage, DevOps, application development, or machine learning
- Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
- Must be 18 or older
Preferred qualifications
- AWS or other cloud certification
- Experience applying established frameworks and design patterns to deliver working software (can include coursework, personal projects, hackathons, or previous internships)
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.
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
Arlington, VA, USA - 121,500.00 USD Annually
Austin, TX, USA - 121,500.00 USD Annually
Seattle, WA, USA - 121,500.00 USD Annually
How we rate this
Associate Solutions Architect, AGS-Tech, Early Career - 2027 at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where solution architecture was part of your work. What did you do?
- Tell me about a project where customer facing was part of your work. What did you do?
- Tell me about a project where ai ml 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 Computing, Solution Architecture, Customer Facing, AI ML, 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.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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