SDE3, Agentic WorkSpaces AI

Amazon • Seattle, WA

1d • Onsite

About The Position

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

As part of the Agentic WorkSpaces organization, we empower millions of professional users—spanning enterprises, research institutions, and government agencies—through AWS WorkSpaces, a cloud-based desktop and application management platform. Our mission is to redefine productivity for users navigating complex legacy application environments by deploying agentic AI solutions that bridge the gap between generative AI and real-world enterprise workflows.

We combine Amazon’s deep operational expertise with a relentless focus on innovation to deliver systems that are robust, scalable, and intuitive. The Senior Software Development Engineer (SDE3) will lead the design and development of a centralized data platform and LLM-driven agent ecosystem that captures, processes, analyzes user interactions, and deploys scalable AI capabilities within AWS WorkSpaces. This role balances data engineering, AI/ML infrastructure, and product strategy to empower teams with insights and AI tools that improve customer experience, drive adoption, and optimize legacy workflows.

Requirements

• 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

Nice To Haves

• 5+ years of leading development of applications backed by AWS services or using other cloud based technologies and services experience
• Experience debugging, profiling, and implementing best software engineering practices in large-scale systems, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
• Experience using data and metrics to drive actionable insights at scale
• 5+ years of customer-facing product development and product management, including defining, launching, and optimizing product and services experience

Responsibilities

• Architect and lead development of a scalable data platform to capture and process user interactions in AWS WorkSpaces, enabling data-driven insights for product and AI teams.
• Design data collection strategies aligned with privacy/compliance, and build pipelines to transform raw data into actionable metrics (e.g., feature adoption, pain points).
• Develop and scale LLM-driven agents for legacy application environments, establishing best practices for fine-tuning, evaluation, and deployment via AWS services (e.g., Bedrock, SageMaker).
• Collaborate cross-functionally with AI/research teams to integrate data insights into model training and agent optimization, driving measurable improvements in customer experience.
• Lead roadmap planning, assessing existing capabilities and prioritizing new data/AI initiatives to support evolving product goals.

Benefits

• sign-on payments
• restricted stock units (RSUs)
• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed