The AGI Information team makes the world's information accessible for AI models and customers everywhere. Our team works closely with science teams to build, productionize and scale ML models in order to learn what customers like and are interested in, so we can better personalize experiences in Amazon products such as Alexa.

Key Job Responsibilities

  • Directly hire, retain, and grow top engineering talent.
  • Be a clear technical voice, working in partnership with your teams and management to deliver scalable customer experiences in AGI.
  • Quickly and reliably deliver high quality technical solutions that will delight our customers.
  • Work on business strategy to define product roadmaps and execution plans as needed.
  • Meet with stakeholders and adapt the roadmap in an agile fashion.
  • Communicate clearly to leadership the risks, successes, and roadblocks as part of your product execution.
  • Work with teams of applied scientists on productionizing ML models.

Basic Qualifications

  • 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 in engineering team management.
  • Experience in engineering.
  • Experience in leading the definition and development of multi-tier web services.
  • Experience working directly within engineering teams.
  • Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems.
  • Experience partnering with product and program management teams.

Preferred Qualifications

  • 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.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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