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  • Sr Software Development Engineer, Foundational AI…

    Amazon (Arlington, VA)



    Apply Now

    Description

    Are you looking to work at the forefront of AI tools that solve real problems for Amazonians?

     

    Amazon Foundational AI Applications, part of Enterprise Engineering, designs, develops, and operates AI-enhanced business productivity applications that help Amazonians focus on high-value work. We are blazing the trail -- identifying new ways to work that large language models (LLMs) can support -- and building tools that help.

     

    We're creating tools that connect to, collect, interpret, and summarize data from internal data sources. We take that knowledge and turn it into summaries and insights that can be used for report writing, trend analysis, and more - solving hard problems that might otherwise require tedious searching, data assembly, retyping and reformatting.

     

    Our current key project helps Amazonians with creating their business review documents - MBRs and QBRs are created and reviewed Amazon-wide.

     

    You'll be using the latest LLM integration features (such as implementing MCP) to connect data to our AI engines, and wiring assistant features into the productivity tools Amazonians already use, designing beautiful, seamless, easy-to-use experiences that delight our customers.

     

    We're building what's next. Join us!

     

    Key job responsibilities

    As a Software Development Engineer on the AI Applications team, you will:

    - Lead cross-functional solutioning across security, scalability, and business system owner stakeholders

     

    - Create MCP servers that provide data from internal services, designing reusable architectures

     

    - Design core APIs that are LLM and MCP compatible

     

    - Document best-practices for implementing MCP capabilities in services

     

    - Assist service teams with adding these to existing services through direct development and SME assistance

     

    - Work with product management teams to shape ideas for new tools and workflows that would otherwise not be possible or practical without AI, and be part of building them

    About the team

    The Foundational AI Applications team consists of Amazonians with a wide range of backgrounds and experiences. We use that perspective to think big and broadly, to create new productivity experiences that are now possible through the existence of LLMs interconnected with business data platforms. We are building tools like code and text prediction to the next level of capability and scope, building meaning and context understanding into our tools and helping Amazonians express their ideas alongside data that supports them.

    Basic Qualifications

    - 5+ years of non-internship professional software development experience

     

    - 5+ years of programming with at least one software programming language experience

     

    - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

     

    - Experience as a mentor, tech lead or leading an engineering team

    Preferred Qualifications

    - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

     

    - Bachelor's degree in computer science or equivalent

     

    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.

     


    Apply Now



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