Drimva

Amazon

Senior Software Dev Engineer, Enrollment Experience - Benefits Experience & Technology (BXT)

$168K–$227K

Seattle, WA +1 · Senior · Full-time · Posted Aug 4, 2026

Location
Seattle, WA
Dallas, TX
Experience
5+ years for each of the three listed software development, programming, and design/architecture qualifications; experience as a mentor, tech lead, or engineering-team lead is also required.
Education
Bachelor's degree in computer science or equivalent (preferred).

About the job

Leads architecture and delivery of AI-powered employee benefits enrollment and agent-support systems, including personalized recommendations, conversational self-service, and adaptive agent workflows.

What you'll do

  • Own team-level architecture and technical direction for enrollment orchestration, personalization, and agent console systems across mobile, web, chatbot, and agent-console surfaces.
  • Design agentic AI capabilities, including MCP tool contracts, conversation state, consent and authorization, and escalation between AI and human support.
  • Lead and mentor engineers, guide cross-team delivery, and own operational excellence for production systems.

What they ask for

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming experience with at least one software programming language.
  • 5+ years of experience leading design or architecture of new and existing systems, including design patterns, reliability, and scaling.
  • Experience as a mentor, tech lead, or engineering-team lead.

Nice to have

  • Bachelor's degree in computer science or equivalent.
  • Experience with GraphQL (Apollo Server preferred), React/TypeScript, cloud-native infrastructure, AI products, or production agentic systems.

Pay

168,100.00 - 227,400.00 USD annually (base salary); 168,100.00 - 227,400.00 USD annually (base salary)

Tools

Apollo GraphQL, MCP, Bedrock AgentCore, Claude Code, Kiro, React/TypeScript, AWS ECS, DynamoDB

AI focus

Builds production generative-AI and agentic systems for personalized benefits enrollment, conversational self-service, and agent workflows, with consent controls, multi-turn state, and human escalation.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)