Sr SDE, AFX

AI in this role

Architect and implement generative AI workflows and intelligent automation for AWS field sales operations.

salesforceaws

ai-automationgenerative-aiautomationdata-pipelinessoftware-architecture

Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud ("Cloud Computing"). With AWS you can requisition compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.

Join us in building on AWS, for AWS!

The AWS Field Experience (AFX) team is looking for a passionate, innovative, results-oriented Senior Software Development Engineer to design and build the services that make it simpler for our field team to manage, maintain, and operate at scale. We build products and solutions that give our talented selling and marketing teams "superpowers" — letting them focus on the customer and helping them drive their business. We're handling massive scale, providing strategic data that drives the AWS business internally, and supporting one of the largest field sales organizations in the world.

As a Senior SDE on the AFX team, you'll have a unique opportunity to spearhead generative AI initiatives, building intelligent automation, insights generation, and scalable customer engagement systems that define the future of Customer Relationship Management at AWS. You'll architect and develop new services that collect and store metrics at internet scale, deliver critical capabilities to the field, and embed operational knowledge and best practices into everything we build. In addition, as part of the broader AWS Sales and Marketing organization, you will have the opportunity to influence the broader cloud strategy for AWS and potentially define future AWS products.

Key job responsibilities
- Architect and implement generative AI workflows that power intelligent automation for field sales operations
- Develop and optimize data pipelines that synchronize account data across systems (Salesforce, AWSentral, Partner Tools) at scale
- Drive technical strategy for signals architecture and entity resolution to improve account data quality and coverage
- Build APIs and services that encode operational best practices and reduce manual toil for the field organization
- Own end-to-end delivery of features from design through deployment, operating in an agile environment with high autonomy
- Mentor junior engineers, conduct design and code reviews, and raise the engineering bar across the team
- Participate in on-call rotations and drive operational excellence through monitoring, alerting, and incident response

About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Basic qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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 base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Dallas - 168,100.00 - 227,400.00 USD annually
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

How we rate this

Sr SDE, AFX at Amazon rates 75 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.

Classification

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.

Key facts

Sr SDE, AFX is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $168k-$227k a year.
The role is based in US, WA, Seattle.
The job was posted on October 6, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

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

AI AutomationGenerative AIAutomationData PipelinesSoftware ArchitectureSalesforceAWS

Questions you could be asked

Tell me about a workflow you automated with AI tools, end to end.
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where software architecture was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Automation, Generative AI, Automation, Data Pipelines, and Software Architecture. 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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