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Senior Developer Advocate, GenAI, AWS Developer Experience

Amazon

Senior Developer Advocate, GenAI, AWS Developer Experience

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Comprehensive health, dental, and vision insurance

Parental leave

Professional development budget

Competitive salary and equity package

Generous paid time off and holidays

Healthcare

Parental Leave

Learning

Equity

Required Skills

React

JavaScript

TypeScript

Do you enjoy diving deep into Generative AI, solving complex problems, and sharing technical insights with fellow developers? Are you excited to explore how Generative AI will transform how software is designed, implemented, and deployed? If so, then this might be your dream job.
Amazon Web Services (AWS) is seeking a Developer Advocate (DA) focusing on Generative AI to join the Developer Experience team in Bangalore, India. You'll be at the forefront of educating and enabling developers to harness the power of Generative AI on AWS.

  • Key job responsibilities
  • As a Developer Advocate on Generative AI, you'll be a technical thought leader in leveraging AI-powered tools for software development. You'll create and present technical content on integrating Generative AI into everyday coding practices, including in-depth tutorials, thought leadership articles on best practices and code samples.
  • Your expertise in both traditional software development and Generative AI technologies will position you as a go-to expert for developers seeking guidance on enhancing their development processes with AI. You'll mentor other developers, helping them effectively integrate Generative AI tools into their workflows.
  • You'll inform AWS product roadmaps with insights from real-world developer experiences and challenges in adopting Generative AI tools. You'll participate in early-stage product ideation for developer tools and services, bringing the voice of practical software developers to the table.
  • You'll support Developer Relations activities across the region, focusing on how Generative AI can solve common development challenges and improve overall productivity.
    A day in the life
    Your day might start with a team standup, aligning on current projects. You could spend the morning preparing for an upcoming workshop on how to use Amazon Q for code generation, refactoring and automated testing. In the afternoon, you might spend time answering questions on Stack Overflow about integrating AWS Generative AI services into everyday software development tasks. Your day might conclude with some experimental coding, investigating ways to combine these AI-powered tools with traditional software development practices to create more efficient development workflows.
    Want to learn more about life as an AWS Developer Advocate? Check out this video: https://www.youtube.com/watch?v=xddeWeNEVkg
    About the team
    The Developer Experience team's mission is to explore the future of development so that we can help developers navigate a path to that future. Our goal is to inspire developers around the world. We show them how to practically use new technologies to build efficiently in the cloud. We show them new things they are now able to achieve, both in tackling more complex cloud problems and building new solutions that leverage generative AI. We earn trust with developers by being authentic, and by being practitioners ourselves. We are on an exciting journey together, and not everything is solved yet.

Basic Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience
  • 12+ years in Software Development and Cloud Computing building performant and scalable applications
  • Experience working with generative AI models, including text, image, and video generation, and familiarity with key concepts like foundational LLMs, prompt engineering, RAG, and model fine-tuning techniques (such as instruct tuning, PEFT, RLHF).
  • Excellent communication and public speaking skills, with experience delivering technical content to developers of varied backgrounds.

Preferred Qualifications

  • Proven experience developing applications using generative AI tools and foundational models, including prototypes and production-ready solutions.
  • Proficiency with modern LLM/AI tools (e.g., Llama Index, Amazon Q, Lang Chain, and vector databases), and a strong interest in exploring new tools and techniques within the GenAI ecosystem.
  • Experience with AWS AI/ML services such as Amazon Bedrock, and understanding of how to integrate these services into generative AI workflows.
  • Demonstrable experience engaging with developer communities, including creating technical content, public speaking, or active participation on platforms like GitHub, Stack Overflow, or developer forums.
  • Willingness to travel as required.
    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.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge