Alexa Sensitive Content Intelligence protects customers from exposure to sensitive content and enhances their trust in Alexa across all languages, locales, devices, experiences, and modalities including image, text, video, and audio. Alexa Sensitive Content Intelligence team leverages natural language understanding (Generative AI), machine learning, and big data to help Alexa identify sensitive content. We serve customers in Classic Alexa and LLM based environment with tier-1 services and tools that enable customers to have a fun, engaging conversational experience with Alexa. We are a highly collaborative, fast moving, and fun team that uses cutting edge technologies for real time customer experience enhancement. If you are passionate about building Generative AI based solutions for customer trust, we are the team to join.
We have accepted challenges to delight customers with trusted content across devices with multimedia content and expand our services and applications across functional and business domains. We are looking for a self-driven and inspired SDE-II/MLE-II who can work across the business domains and build sensitivity detection solutions.

Key job responsibilities
- Own feature enhancements end to end, collaborate with product and science , design, develop and launch in production.
- Participate in design reviews/code reviews and contribute to the teams deliverables
- An SDE-II/MLE-II in Alexa Sensitive Content Intelligence will develop the design for complex, cross functional, multimodal and multi locale applications. The engineer in this role will be the owner of the technical areas supporting Generative AI Large Language Model (LLM) based services and customer facing applications. An SDE-II/MLE-II will be forging alliance with upstream and downstream engineering teams to deliver the services and create mechanisms for end-to-end integration. You will build low-latency services that are optimized for performance to meet the classic Alexa and LLM based customer interaction expectations.
- An SDE-II/MLE-II in Alexa Sensitive Content Intelligence will own full stack software development and contribute to all aspects of an agile software development lifecycle, including design, architecture, development, documentation, testing and operations. You will work with Scientists, Engineers and Product managers and influence the design of the customer facing features and products. The SDE II will implement the service and features that will impact experience of customers across all modalities and functions.
- Mentor junior engineers

A day in the life
As a member of the team you will be responsible for design, development and launch of new features, and maintenance of existing features. You will be required to participate with other senior engineers and peers in developing the overall system architecture, contribute the review of design and code of peer engineers and mentor junior engineers. You will also work on high availability, security compliance and maintenance of our existing services.

About the team
Our team handles multiple Responsible AI (RAI) dimensions in the Devices and Services space across multiple devices and service offerings. As part of working in the team, one gets to work closely on the core LLM stack and influence how RAI aspects should be designed in order to maintain customer trust, while not impacting CX.

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

- 3+ 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.