Software Development Manager - AI-Native Platform Lead

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 185,000 - 250,000

Full time

3 days ago
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Job summary

Amazon Web Services, Inc. is seeking a Software Development Manager to lead the Specialist AI Tooling engineering team within the STT. You will oversee four AI-native products, shaping agentic systems and scalable AI features for thousands of AWS specialists daily.

You will mentor a high-performing team, drive architecture decisions, and partner with product and field leadership to translate complex problems into tangible engineering deliverables at AWS scale.

Qualifications

  • 3+ years of engineering team management experience.
  • 7+ years of engineering experience.
  • 6+ years leading the definition and development of multi-tier web services.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.

Responsibilities

  • Own and grow a team of Software Development Engineers responsible for four interconnected AI-powered products.
  • Architect and ship production agentic AI systems using LLMs, knowledge graphs, RAG, and multi-agent orchestration.
  • Build, manage, and develop a high-performing SDE team with a culture of ownership and operational excellence.
  • Drive evolution of intelligent routing and GenAI summarization pipelines across AWS specialist ecosystem.

Skills

Engineering leadership
Team management
Web services
GenAI systems
Cross-functional collaboration

Education

Bachelor's degree in Computer Science or Engineering

Job description

Amazon Web Services, Inc. is seeking a Software Development Manager to lead the Specialist AI Tooling engineering team within the STT. You will oversee four AI-native products, shaping agentic systems and scalable AI features for thousands of AWS specialists daily.

You will mentor a high-performing team, drive architecture decisions, and partner with product and field leadership to translate complex problems into tangible engineering deliverables at AWS scale.

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