Software Development Engineer, Benefits Experience & Technology (BXT)

Using your benefits today means portals phone calls hold music and fine print. We are changing that by bringing AI in as a strategic partner: software that understands what a person needs and helps them find the answer at the moment of need. This is a generative-AI and agentic-engineering role first building products that reach millions of people.
You will join Benefits Engagement Technology and Services (BETS) the Amazon organization reinventing how more than a million employees and their families engage with their benefits. Our vision is benefits that are AI-powered personalized and proactive where timely guidance reaches people when they need it rather than making them hunt for it. BETS builds and operates the platform that delivers benefits experiences across mobile web and an AI assistant from self-service content creation to multi-channel campaigns to analytics and we are now building a family of AI-native products on top of it.
Two of those products are our biggest bets and we are building each as a focused product team inside BETS:
- A reimagined health plan where AI is a strategic partner for members instead of a portal to navigate. Rather than directories phone trees and hold music it understands what someone needs and brings the right answer to them at the moment of need: the in-network doctor the real out-of-pocket cost before they book the claim explained in plain language and the next step taken on their behalf. When a parent opens the app at 6 a.m. with a feverish child they get a confirmed appointment and a real price in under two minutes. It is built on secure HIPAA-compliant foundations to serve very large member populations.
- An agentic workforce for benefits operations that makes running benefits for a workforce of millions dramatically easier. Managing dozens of programs vendors and budgets is enormous operational work; AI agents take on that heavy lifting surfacing what needs attention preparing the analysis and the recommended action and handling the routine so the people who manage benefits spend their time on decisions and strategy instead of manual operations. The system learns from every decision and keeps that knowledge with the team.
This role places you on one of these two teams.
Here is what sets this organization apart: we do not just build AI products we build them the AI Native way and we have already proven it. A small pod rebuilt a major benefits platform and shipped it to production in 3 months work originally scoped at 12 by restructuring how we engineer around our model humans own judgment and agents own the mechanical middle. You write the specification and set the acceptance criteria; agents write a growing share of the implementation author tests and resolve code-review comments; you direct validate and own what ships. You will still write code by hand when the problem is novel the domain is opaque to current models or the systems and security boundaries demand it and that balance shifts toward direction as our tooling matures. Recursive self-improvement where the system proposes its own next version and a human approves is the north star we are deliberately climbing toward one validated step at a time with humans at the judgment gates.
As a Software Development Engineer II in BETS you will own the design development and delivery of the capabilities that power your teams product. You will build real distributed systems and the agentic experiences on top of them using Java and TypeScript on AWS (Lambda DynamoDB and more) with Amazon Bedrock AgentCore for agent runtime and MCP for composable skills. And you will build them the AI Native way: writing specs and acceptance criteria directing coding agents through the build loop and proving your work against realistic customer segments with simulation testing before a human ever reviews it. A successful SDE II here works backwards from the customer brings a strong product design sense alongside a broad technical toolkit and sound system-design instincts has a bias for ownership and is genuinely curious about building software with agent loops rather than back and forth prompting.
How we work honestly: teams here are small which means high ownership density and real scope decisions rather than a ticket queue. Some of our work carries hard externally committed launch dates so parts of this role are deadline-driven. Because we handle sensitive personal data privacy and security are designed in from the start and are everyones responsibility not an afterthought. You own what you build including its operations and an on-call return you build rare portable depth: regulated large-scale platforms and production agentic systems plus the judgment to direct them.
This role is for builders who want to own outcomes not tickets and who are comfortable working on systems that do not fully exist yet. If greenfield 0-to-1 problems energize you if you want to help prove how a small team enters a hard domain and wins and if you see AI as the leverage that lets a handful of engineers build what used to take dozens you will thrive here.


Key job responsibilities
Own capabilities end to end: design build test launch and operate features and independently deployable services including on-call for what you ship.
Work backwards from the customer: bring a product design perspective to what you build understanding the need behind the spec and shaping the experience not just implementing it.
Turn signed-off specifications into working tested software contributing across packages in our open-contribution model and partnering with product experts to refine requirements.
Work the AI Native build loop day to day: direct coding agents review human-authored and agent-authored code to the same bar and own the correctness of what merges.
Implement and extend the validation that earns autonomy: simulation tests across realistic customer segments so a change is proven correct across the populations we serve before a human reviews it.
Integrate with regulated real-world systems (sensitive customer data third-party and vendor APIs) with correctness and privacy as non-negotiables.
Help improve the system that builds the system: when a manual fix reveals a pattern propose it as a reusable skill in our shared capabilities so agents handle it next time.

- 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
- Bachelors degree or foreign equivalent in Computer Science Engineering Mathematics or a related field
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience building complex software systems that have been successfully delivered to customers
- Experience implementing AWS services in a variety of distributed computing environments
- Exposure to the broader agentic ecosystem and open-source AI or agent tooling

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 for more information. If the country/region youre applying in isnt 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 TX Dallas - 143700.00 - 194400.00 USD annually