AmazonSenior Software Engineer, Security Services and Observability, Amazon Web Services
AI in this role
Build production-grade AI systems, multi-agent orchestration layers, and RAG pipelines for enterprise customers.
AI is not a side experiment on this team. It is a core part of the stack. You will build orchestration layers for multi-agent systems, retrieval pipelines, workflow automation, and decision intelligence, all as everyday engineering primitives. You will integrate foundation models, customer data sources, APIs, and existing applications into cohesive AI experiences, then optimize for latency, reliability, observability, cost, and security.
We operate across security, observability, search, and governance, but you do not need a background in any of them. What you need is curiosity, strong technical judgment, a bias for action, a desire to work on the bleeding edge of technology, and a drive to solve ambiguous problems at scale. This is a team of engineers and scientists who care about craft, customer outcomes, and having fun doing the work.
Growth here is by design. We assign projects based on what will stretch you. At the SDE III level, that means owning complex, cross-team technical challenges end-to-end, leading design for systems that enterprise customers depend on, and turning the patterns you discover into reusable accelerators that scale the entire FDE practice. A broad mix of experience levels and a genuine culture of mentorship means you will level up fast.
About the team
The Field Innovation team is a Forward Deployed Engineering (FDE) group inside AWS. We work directly with customers and AWS service teams to build next-generation AI systems that help the world's largest enterprises get faster return on value from security, search, observability, and governance services.
We are hiring senior builders who want to work at the intersection of customer impact and cutting-edge AI. You will embed with customers to understand how they operate, then partner with service teams to design and ship production-grade products powered by large language models, agent frameworks, retrieval-augmented generation, and AI-assisted development tools. From day one your code will be in production, and your architectural decisions will shape how fortune 500 enterprises operate.
Basic qualifications
- 7+ years of non-internship professional software development experience
- 7+ years of programming with at least one software programming language experience
- 7+ 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
- Experience leading and influencing your team or organization
- Experience building complex software systems that have been successfully delivered to customers
- Experience communicating technical concepts to non-technical audiences, or experience in similar environments
Preferred qualifications
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Experience developing, deploying and managing AI products at scale
- Experience with the AWS platform, web services, software development, or related technologie
- Experience working in a customer-facing environment
- Experience with agentic and specification-driven development practices.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Irvine - 168,100.00 - 227,400.00 USD annually
USA, VA, Herndon - 168,100.00 - 227,400.00 USD annually
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
How we rate this
Senior Software Engineer, Security Services and Observability, Amazon Web Services 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
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
- How would you design a retrieval step so the model answers from real data instead of guessing?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where multi agent systems was part of your work. What did you do?
- Tell me about a project where retrieval augmented generation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, NLP, Software Engineering, Multi Agent Systems, and Retrieval Augmented Generation. 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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