Software Development Engineer Ii, Aws AI & Strategic Partner Engineering

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Software Development Engineer II on the AWS AI & Strategic Partner Engineering team, focusing on building new capabilities and solutions for AWS customers and partners. The role involves architecting and building deep integrations with partners, leveraging AI-driven automation, Agentic AI, and LLM integrations to enable rapid prototyping and deployment through collaborative AI agent workflows. Responsibilities include designing system architecture, full-stack development, and driving innovation through experimentation with LLMs and autonomous agents.

What you'd actually do

  1. Design & deliver mission-critical solutions for AWS partners across various engineering domains, not limiting to security, AI/ML, distributed systems, databases, VPC, and emerging AWS services
  2. Build detailed technical specifications and collaborate with AI agents to rapidly prototype and validate solutions
  3. Architect and deliver integrations between partners (like SAP) and AWS-native services, enabling seamless data flow, identity management, and compliance for global enterprises.
  4. Master diverse domains: Security frameworks, AI/ML pipelines, distributed databases, cloud-native infrastructure (VPC, EC2, S3, etc.), and Agentic AI/LLM integrations
  5. Drive innovation through experimentation with large language models, autonomous agents, and generative AI tools to solve partner challenges

Skills

Required

  • Software Development
  • System Architecture
  • Full-stack development
  • AI/ML pipelines
  • Distributed systems
  • Cloud-native infrastructure (VPC, EC2, S3)
  • Agentic AI/LLM integrations
  • Prototyping
  • Customer and partner interaction

Nice to have

  • Security frameworks
  • Databases
  • SAP integration
  • Identity management
  • Compliance
  • Generative AI tools

What the JD emphasized

  • Agentic AI
  • LLM integrations
  • collaborative AI agent workflows
  • rapid prototyping and deployment
  • AI agents

Other signals

  • AI-driven automation
  • Agentic AI
  • LLM integrations
  • collaborative AI agent workflows
  • rapid prototyping and deployment