ToastDublin, Ireland
AmazonPosted 3w ago
Senior Software Development Engineer, AI Acceleration, Amazon Luna at Amazon scores 67 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
You will build agents and AI-powered solutions impacting Engineering, Marketing Technology (Martech), and Business Planning. You will design systems that leverage GenAI to optimize marketing workflows, personalize customer engagement, automate content generation, and enhance marketing analytics — helping Luna's growth and business teams work smarter and faster. You will architect next-generation AI solutions that will drive AI adoption for both external game developers and internal teams. You will be a hands-on builder who designs, develops, and operates infrastructure to support both proprietary and third party models.
We are looking for a highly collaborative cross-team player. You are a passionate evangelist for AI innovation who can influence cultural transformation and fundamentally shift how teams approach their work using AI. Ambiguity motivates you to invent and solve problems. You thrive in fast-paced, entrepreneurial environments and are comfortable owning and executing product initiatives from start to finish.
Key job responsibilities
- Drive platform architecture decisions - Work closely with GenAI leadership to understand model requirements and translate them into scalable platform capabilities; contribute to technical design reviews and architectural decisions.
- Lead internal GenAI adoption and evangelization - Champion adoption of GenAI tools across internal teams, conduct technical workshops, and drive productivity improvements through effective implementation of AI capabilities.
- Launch cross-functional agents - Identify key use cases to increase productivity and partner with domain experts to create transformative agentic workflows and systems.
- Evaluate & optimize performance - Design caching strategies, implement request optimization, and build monitoring systems to deliver low-latency and cost efficient AI powered solutions.
- Partner directly with game developers and platform teams to understand specific use cases, translate requirements into technical solutions, and optimize foundational models through fine-tuning and more.
- Build and operate high-scale API infrastructure - Design, develop, and maintain secure, scalable APIs using Native AWS which provide unified access to multiple AI service providers including Bedrock, SageMaker, and vendors like ElevenLabs.
- Ensure enterprise-grade security, compliance and responsible AI is the backbone of all solutions.
About the team
Amazon Luna is a cloud gaming service that makes it easy for anyone to play high-quality games on the devices they already own—including Fire TV and tablet devices, smartphones, tablets, web browsers, select smart televisions from LG and Samsung, and more--with no need to purchase new gaming consoles or equipment. Luna brings more than 50 games to Prime members at no additional cost, including GameNight, an evolving collection of more than 25 approachable, local multiplayer games designed to bring friends and family together in the living room. To play GameNight titles, simply scan a QR code on your TV and your smartphone becomes your controller. With simple and responsive touchscreen inputs and support for multiple local players, GameNight offers and easy and approachable way to play whether you’re an experienced gamer of a casual fan.
Basic qualifications
- Bachelor's degree in computer science or equivalent
- 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
- Experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations
Preferred qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
- Experience in Games Industry (supporting title Development, Release, or Live Ops)
- Experience developing, deploying and managing AI products at scale
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How do you think about the risk of an AI system in this kind of role failing silently?
- What's a project where you used Bedrock hands-on?
- Walk me through how you've used Sagemaker in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI Agents, Fine Tuning, AI Safety, Bedrock, and Sagemaker. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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