AmazonSr Software Development Engineer, Agent Platforms & Services
Amazon is hiring a Sr Software Development Engineer, Agent Platforms & Services in Seattle, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Level.
AI in this role
Our team is developing an agent platform that coordinates multiple specialized AI sub-agents to execute complex, multi-step advertising workflows. You'll own the architectural direction for these systems, partner with Applied Scientists on learning systems, drive technical strategy with product teams on advertiser experience, and build the identity and authorization frameworks that keep it all secure. This is a small, high-ownership team where you'll shape how AI transforms advertising from the ground floor — influencing technical direction beyond your own team and establishing the engineering practices that scale as the platform grows.
Key job responsibilities
- Own the architectural direction for orchestration systems that coordinate multiple specialized AI sub-agents to execute complex, multi-step advertising workflows
- Design and build identity, authorization, and permission frameworks that enforce scoped access for diverse caller types — making foundational technical decisions that shape the platform long-term
- Design feedback signal pipelines that capture expert judgment and route it into model improvement loops
- Partner with Applied Scientists to integrate reinforcement learning from human expert feedback into production agent systems, driving the technical strategy for how learning systems evolve
- Design and operate end-to-end evaluation systems that measure recommendation quality, detect regressions, and enforce quality gates
- Establish and drive technical partnerships with cross-functional teams (product, science, partner engineering) to define integration contracts and onboard new consumers to the platform, influencing their technical direction
- Own system reliability, observability, and performance for always-on agent infrastructure serving thousands of concurrent advertiser accounts
- Mentor engineers, lead design reviews, and drive adoption of engineering best practices across the team
A day in the life
You might start the morning reviewing eval results from a newly onboarded agent skill, diagnosing why routing accuracy dropped 2%. By mid-morning, you're pairing with an Applied Scientist to tune the feedback pipeline that captures expert signals. After lunch, you're designing the permission model for a new integration. You end the day shipping an observability improvement that surfaces latency bottlenecks across the orchestration chain. Every day is different, but the thread is the same: making AI agents smarter, safer, and more reliable at scale.
About the team
We're a small, high-ownership team within Amazon Ads building the platform that makes AI agents accessible across the advertising ecosystem. Our charter is greenfield: we're defining how agent intelligence gets exposed to other engineering teams. We work closely with Applied Scientists on learning systems, product teams on advertiser experience, and platform teams on shared infrastructure. The team values builders who ship fast, think in systems, and are comfortable operating in ambiguity. If you want to shape how AI transforms advertising from the ground floor, this is the team.
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, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
How we rate this
Sr Software Development Engineer, Agent Platforms & Services at Amazon rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● 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
Also common in software engineer jobs at this level
Pay
- This job starts at
- $168k
- Typical software engineer job
- $168k
This posting starts close to the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: AI agents. 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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