Description

Join our team and work Generative AI technology while helping AWS meet its global expansion goals! We are building an innovative AI product that helps AWS teams streamline and automate the process of deploying new services and new AWS regions worldwide. As a Software Development Engineer, you will play a key role in developing this cutting-edge Generative AI solution that leverages large language models and advanced natural language processing techniques.

This role will sit in our new headquarters in Northern Virginia, where Amazon will invest $2.5 billion dollars, occupy 4 million square feet of energy efficient office space, and create at least 25,000 new full-time jobs. Our employees and the neighboring community will also benefit from the associated investments from the Commonwealth including infrastructure updates, public transportation improvements, and new access to Reagan National Airport.

By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us.

By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us.

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Key job responsibilities

Architect and implement core components of the Generative AI system powering the Automated Assistant

Integrate large language models for retrieval-augmented code generation models into the product

Build robust APIs, data pipelines, and infrastructure to support AI model deployment at scale

Optimize model performance, latency, and cost by building tests and continuously improving the framework

Develop interfaces to manage prompts, provide feedback, and improve the Automated Assistant

Implement AI guardrails around security, privacy, and data governance

Collaborate across software engineering, data science, data engineering, and product teams through the full SDLC

A day in the life

Our Automated Assistant is an AI-powered conversational assistant that enables AWS teams like Technical Program Managers (TPMs) and Service Builders to efficiently manage region deployment workflows. Using natural language interactions, it provides real-time data access, visualizations, task automation, and insights - allowing teams to make faster, data-driven decisions during region builds.

About the team

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

About the team

We are dedicated to supporting our new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA

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

• Familiarity with natural language processing, information retrieval, or generative modeling

• Bachelor's degree in Computer Science, Engineering, or a related technical field

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

• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

• Prior experience building and deploying large language models applications or generative AI systems

• Knowledge of responsible AI practices like bias mitigation, privacy preservation

• Proficiency with AWS AI/ML services like SageMaker, Bedrock, etc.

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.