Software Development Engineer, Benefits Experience & Technology (BXT)

About the role

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 agents. In 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.

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.

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
• 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

Pay

USA, TX, Dallas - 143,700.00 - 194,400.00 USD annually

Benefits

Amazon 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.

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