Amazon.com Services LLC

Technology

Sr.Manager,SoftwareDev,AppliedAI

$220–298k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Sr. Manager, Software Dev, Applied AI at Amazon.com Services LLC. Skills: Applied AI, Software Development Management, AI agent platform, LLM-based tools. Lead engineers and scientists building LLM-based tools. Lead engineers and scientists building ML-powered capabilities”

What You'll Achieve.

Build industry-leading technologies; Accelerate adoption of AI technologies; Deliver growing catalog of reliable tools; Build delightful products for agents; Build delightful products for developers; Support Amazon's global footprint

Industry & Context.

Technology
Problems you'll solve

Simplify relentlessly

What They're Looking For.

Must Have

10+ years engineering experience, 5+ years engineering management, 10+ years planning, designing, developing, delivering consumer software, Experience partnering with product/program management, Experience managing multiple concurrent programs/projects/teams, Experience leading, mentoring, growing teams of scientists (five or more)

Nice to Have

Experience partnering with product and program management teams, Experience designing and developing large scale, high-traffic applications

What You'll Do.

Lead engineers and scientists building LLM-based tools

Lead engineers and scientists building ML-powered capabilities

Lead engineers and scientists building deterministic integrations

Architect secure integration patterns

Design and scale a protocol layer

Deliver Tier-1 systems

Partner with applied scientists to integrate ML models

Drive technical roadmap from prototype to production

Ensure engineering best practices are followed

Design systems for high-availability

Design systems for dynamic scalability

Design systems for resilience

How You'll Work.

Team & Collaboration

Partner with platform teams; Partner with security teams; Partner with science teams

Process & Methodology

Agile environment, Roadmap ownership

Full Job Description

We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a new innovative product. The mission of the Applied AI team is to enable organizations within Amazon to accelerate the adoption of AI technologies across various parts of our business. We are looking for a Sr. Software Development Manager (Sr. SDM) to lead the Tools & Integrations pillar of our AI agent platform. Your team will build the capabilities that AI agents use to interact with the world — from LLM-powered tools and traditional ML models to API integrations, authentication and authorization frameworks, and protocol-based connectors. You will define the strategy for how agents securely access internal and external services, and deliver a growing catalog of reliable, composable tools at Amazon scale. Key job responsibilities Software Development Managers at Amazon are owners. You will own your team, your roadmap, and the end-to-end developer and agent experience. You will drive engineering and operational excellence and build delightful products for your customers — both the agents that consume your tools and the developers who create them. You will partner with platform, security, and science teams and earn their trust through consistent delivery. In this role you will: * Lead a team of engineers and scientists building LLM-based tools, ML-powered capabilities, and deterministic integrations that agents invoke at runtime * Architect secure integration patterns including authentication, authorization, and credential management for agent-to-service communication *Design and scale a protocol layer (APIs, MCPs) that enables agents to discover, invoke, and compose tools reliably *Deliver Tier-1 systems that support Amazon's global footprint with

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