Amazon Senior Machine Learning Engineer AI Architecture Luna Prime Gaming Gen 

United States, Washington, Seattle 

52361914

As our Senior AI/ML Engineer, you will design, architect, and implement machine learning solutions for both external game developers as well as our internal engineering teams. You'll be a hands-on builder who creates and optimizes workflows for fine-tuning and distilling state-of-the-art foundation models (text, image, voice, etc.). Your deep understanding of the gaming and AI landscape will enable you to consult on model optimization as well as fully-scale AI systems in production.
Key job responsibilities
* Drive platform architecture decisions - Define build vs buy vs borrow frameworks to help teams architect the optimal AI stack per use case; contribute to technical design reviews and architectural decisions
* Partner directly with game developers and platform teams - Collaborate with internal and external gaming teams to understand specific use cases, translate requirements into technical solutions, and optimize foundational models through fine-tuning and distillation
* Design and implement trust and safety frameworks - Architect comprehensive safety solutions that balance model prompting, fine-tuning techniques, and built-in guardrails to ensure responsible AI deployment while maintaining optimal user experiences
* Drive performance optimization - Design core platform components that deliver minimal latency, high throughput, and cost-effective solutions at scale.
* Shape product strategy through tech insights - Engage with game developers to understand future requirements and use cases, matching that with tech trends, providing strategic input on which models and capabilities our platform should prioritize and support
* Lead internal GenAI adoption and evangelization - Champion the adoption of GenAI tools across internal teams, conduct technical workshops, and drive productivity improvements through effective implementation of AI capabilities
* Deliver end-to-end technical solutions - Own the complete lifecycle from proof-of-concept to production deployment, including model selection, customization, integration, and continuous improvement based on performance metrics
* Stay at the forefront of GenAI innovation - Monitor and evaluate emerging models, techniques, and capabilities from leading AI providers including Anthropic, OpenAI, and others; maintain strategic relationships with external partners to inform our platform roadmap

- 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
- Demonstrated ability to work with large language models, multimodal models, and foundation model customization for specific use cases
- Experience designing and implementing ML pipelines, model training workflows, and automated evaluation systems
- Strong understanding of responsible AI practices, model safety, content filtering, and guardrail implementation
- Excellent communication skills with ability to translate complex technical concepts to diverse stakeholders and drive technical decisions
- Strong technical fluency in Generative AI, including a deep understanding of large language models (LLMs), AI model behavior, and trade-offs (e.g., model size, latency, cost, and output quality).
- Passion for staying current with the latest developments in AI technologies, and applying those insights to real-world product challenges
- Bachelor's degree or equivalent in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Background in gaming, with a passion for building features that engage and delight players
- Master's degree in machine learning or related field