Software Dev Engineer II, AWS Applied AI Solutions
Amazon is hiring a Software Dev Engineer II, AWS Applied AI Solutions in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Level.
AI in this role
Build end-to-end governance and control systems for enterprise AI agents on AWS Applied AI Solutions.
On Agentic WorkSpaces, our vision is to enable AI agents to work the way humans do — with access to real applications, real interfaces, and real computing environments. For enterprises to trust autonomous agents with their essential business applications, they need a full suite of governance capabilities: an identity for every agent, human-in-the-loop controls to audit and approve what agents do, and the ability for a human intervene in an agent's session when required. Our team is building these systems end to end. Upcoming launches will give every agent a verifiable identity, record every desktop action as a reviewable visual audit trail, enforce policy on every tool call before it executes, pause agents for human approval on sensitive actions, and let a human take control of an agent's session mid-task before handing it back to the agent, which resumes with full context of what changed. Identity and agentic governance present hard problems in our industry today, and we're excited to on the forefront of solving them.
We're looking for an SDE II who can ramp quickly deliver features end-to-end and thrive in greenfield work. Much of what we're building doesn't exist yet. You'll take early designs to production make pragmatic calls about what to build versus what to compose from existing AWS services and ship on a schedule tied to real customer milestones. The pace is high with re:Invent deliverables targeted for this year and an ambitious 2027 roadmap. If you like owning features from design through production and want your work to be the reason enterprises trust AI agents this team is for you.
Key job responsibilities
• Own features end-to-end: design implement test deploy and operate in production
* Build new services for policy enforcement, session recording and replay, human-in-the-loop approval workflows, and human takeover of agent sessions
* Integrate with AWS services and make build-vs-compose decisions with your team
* Handle customer content with care: recording pipelines retention and access controls where correctness is the product
* Collaborate with engineers on adjacent teams to unblock dependencies and align on interfaces
* Contribute to operational excellence: oncall runbooks alarms and incident response
A day in the life
Your mornings are usually free for focus work - writing code reviewing CRs and working through whatever problem you've picked up. Around 11 you'll have standup then grab lunch with the team (if you like) before the afternoon opens up for integration work cross-team syncs or design reviews. Our pipelines are full CD our ticket queue is small and when something pages us we fix the root cause - not just the symptom. We encourage responsible AI usage across our development workflow - it's one way our team moves fast. The problems are interesting and the pace is high but we believe we can move fast do exceptional work and have a full life outside of it.
About the team
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
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.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
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.
Basic qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred qualifications
- 3+ 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 - 143,700.00 - 194,400.00 USD annually
How we rate this
Software Dev Engineer II, AWS Applied AI Solutions at Amazon rates 90 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
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Safety, Software Engineering, Distributed Systems, and Cloud Computing. 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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