Software Development Engineer Ii, Aws AI & Strategic Partner Engineering

Amazon Amazon · Big Tech · Santa Clara, CA · Software Development

Software Development Engineer II for AWS AI & Strategic Partner Engineering. This role focuses on building new capabilities and solutions for AWS customers and partners, leveraging AI-driven automation, Agentic AI, and LLM integrations. The engineer will design system architectures, prototype solutions using AI agents, and deliver integrations between partners and AWS services, with a focus on accelerating time-to-market for joint customer successes.

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
  • Cloud-native infrastructure
  • AI/ML pipelines
  • Distributed systems
  • Security frameworks
  • Large language models
  • Autonomous agents
  • Generative AI tools

Nice to have

  • Experience with SAP workloads
  • Experience with AWS services (VPC, EC2, S3)
  • Mentoring junior engineers

What the JD emphasized

  • AI agents to rapidly prototype and validate solutions
  • Agentic AI and LLM integrations
  • collaborative AI agent workflows
  • rapid prototyping and deployment

Other signals

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