Software Development Manager, Agentic AI - Agentcore

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

This role is for a Software Development Manager on the Agentic AI organization's Evaluations & Optimization team at AWS. The manager will lead a team of engineers to build systems for assessing the quality, performance, and reliability of GenAI and agentic systems, as well as optimization solutions. The work involves deep learning, distributed systems, and evaluation science, focusing on building infrastructure and tooling for evaluation workflows.

What you'd actually do

  1. Hire, motivate, mentor, and grow a high-performing engineering team, providing them with appropriate opportunities to succeed in their career objectives.
  2. Collaborate with cross-functional teams: Work effectively with product managers and software engineers on other partner teams to ensure the successful delivery of features.
  3. Ensure timely execution of key organizational automation goals and customer launches by removing blockers and reducing execution risks.
  4. Work closely with the leadership team to provide input on OP1, roadmaps, and strategic discussions.
  5. Be deeply involved with engineers to architect and develop the best technical designs and approaches.

Skills

Required

  • 3+ years of engineering team management experience
  • 7+ years of working directly within engineering teams experience
  • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 8+ years of leading the definition and development of multi tier web services experience
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Experience partnering with product or program management teams

Nice to have

  • Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment
  • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
  • Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

What the JD emphasized

  • state-of-the-art GenAI systems
  • state-of-the-art solutions for agents optimization
  • rigorous, scalable, and automated evaluation
  • foundational infrastructure and developer tooling
  • deep learning
  • large-scale distributed systems
  • evaluation science workflows
  • robust, extensible, and easy to use

Other signals

  • building state-of-the-art systems
  • evaluating GenAI and agentic systems
  • foundational infrastructure and developer tooling
  • evaluation workflows
  • deep learning
  • large-scale distributed systems
  • evaluation science workflows