AI Engineer - GenAI, Creative-X
Amazon · Seattle, WA
- On site
- Full-time
- $165,000 / year
- Seattle, WA
Job highlights
- Develop and deploy generative AI solutions at scale.
- Work on cutting-edge AI technologies like LLMs and diffusion models.
- Collaborate with a high-caliber team of scientists and engineers.
- Own end-to-end deployment of AI solutions for advertisers.
- Drive innovation in Amazon's growing advertising business.
About the role
About Amazon Advertising
Amazon Advertising is one of Amazon's fastest-growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!About The Creative X Team
The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (audio, images, videos, descriptions) by building AI-driven solutions for advertisers. To accomplish this, we are investing in Agentic AI, latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforcement learning (RL), and related methods. You will be part of a close-knit team of applied scientists, product managers, other AI Engineers, and stakeholders who are highly collaborative and at the top of their respective fields.What You Will Do
We are looking for talented AI Engineers who are adept at a variety of skills that enable deployment and productization of Generative AI models for advertising at scale. Every member of the team is expected to build customer (advertiser)-facing features, contribute to the collaborative spirit within the team, productize, deploy at scale, and bring advanced production-grade research to raise the bar within the team.Key job responsibilities
- Work closely with Applied Scientists and AI Engineers to develop AI agents and transform research code into production.
- Own end to end deployment at scale of AI solutions.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Document processes and methods for technical and non technical audiences.
- Contribute to code reviews.
- Mentor and help recruit AI Engineer to the team.
- Present outcomes and explain approaches to senior leadership.
Why You Will Love This Opportunity
Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.About The Team
The team consists of applied scientists and AI engineers. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.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
- Experience setting up distributed training infrastructure.
- Hands on experiences with AI Agent development in real production.
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience handling and organizing video assets.
- Ideally familiar with Amazon systems and deployment methods for production.
Key skills/competency
- Generative AI
- AI Engineering
- Large Language Models (LLM)
- Agentic AI
- Machine Learning Operations (MLOps)
- Computer Vision
- Reinforcement Learning
- Software Development
- System Design
- Scalability
Skills & topics
- AI Engineer
- Generative AI
- GenAI
- LLM
- Large Language Models
- Agentic AI
- Machine Learning
- Deep Learning
- Computer Vision
- Reinforcement Learning
- Software Development
- Amazon Advertising
- Seattle
- Tech
- Engineering
How to get hired
- Tailor your resume: Highlight your experience with Generative AI, LLMs, and production deployment, aligning it with the AI Engineer role at Amazon Advertising.
- Showcase production experience: Emphasize your hands-on experience with AI agent development and deploying AI solutions at scale in previous roles.
- Demonstrate system design skills: Detail your experience in designing and architecting scalable, reliable systems, particularly for AI/ML models.
- Prepare for technical interviews: Brush up on software development, AI/ML concepts, distributed systems, and be ready to discuss your contributions to past projects.
- Understand Amazon's culture: Research Amazon's leadership principles and demonstrate how your collaborative and customer-obsessed approach aligns with their values.
Technical preparation
Master generative AI concepts and models.,Practice deploying ML models in production environments.,Strengthen distributed systems and scalability knowledge.,Code review and refactor research code effectively.
Behavioral questions
Describe a complex AI problem you solved.,How do you handle production deployment challenges?,Tell me about a time you mentored others.,How do you collaborate with scientists and engineers?
Frequently asked questions
- What specific Generative AI technologies are used by the Creative X team at Amazon Advertising?
- The Creative X team at Amazon Advertising is investing in and utilizing a range of Generative AI technologies including Agentic AI, latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), and reinforcement learning (RL).
- What are the key responsibilities of an AI Engineer on the Creative X team?
- As an AI Engineer on the Creative X team, you will develop AI agents, transform research into production-ready code, own the end-to-end deployment of AI solutions at scale, establish automated processes for data analysis and model development, and contribute to code reviews and team mentorship.
- What is the expected experience level for this AI Engineer position at Amazon?
- The basic qualifications require at least 3+ years of professional software development experience and 2+ years in system design or architecture. Preferred qualifications include experience with the full software development lifecycle and familiarity with Amazon's deployment methods.
- How does Amazon foster innovation within its AI teams like Creative X?
- Amazon fosters innovation by heavily investing in its advertising business and empowering teams like Creative X with a broad mandate to experiment and innovate. The team is highly motivated, collaborative, and operates with an entrepreneurial spirit to create world-class products.
- What is the career growth potential for an AI Engineer at Amazon Advertising?
- Joining Amazon Advertising offers significant career growth potential, as it is a rapidly growing and profitable business. You will work on impactful products, drive long-term growth, and have opportunities to mentor others and present to senior leadership, raising the bar for AI engineering.
- What does the typical work arrangement look like for an AI Engineer at Amazon?
- While the job description doesn't explicitly state the work arrangement, Amazon often offers hybrid or remote options for engineering roles. However, given the Seattle location mentioned, a hybrid arrangement is common, with potential for remote depending on team and role specifics. It's best to clarify this during the interview process.
- How can I best prepare my resume for an AI Engineer role at Amazon?
- To prepare your resume for an AI Engineer role at Amazon, focus on quantifying your achievements in areas like Generative AI development, LLM implementation, AI agent deployment, and experience with distributed training infrastructure. Highlight your system design and architecture experience, and showcase any contributions to scalable production systems.