Sr. Solutions Architect, Media & Entertainment, Games and Sports (MEGS)

## Responsibilities - Serve as a trusted technical advisor to major studio and content creation customers on GenAI adoption strategies - Design and architect solutions leveraging cloud solutions for media workflows (script analysis, content generation, VFX pipeline automation, metadata enrichment, dubbing/localization, etc.) - Build and deliver proof-of-concept implementations, reference architectures, and technical content tailored to studio audiences - Partner with AWS service teams to shape the product roadmap based on customer feedback - Collaborate with Account Solutions Architects and Account Managers to identify and progress solutions that deliver value to customers - Present at industry events and create thought leadership content - Contribute to internal enablement and upskilling peers on M&E workflow solutions - Engage with partner ISVs and SIs in building solutions ## Requirements - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 2+ years of practical machine learning experience - Knowledge of video production crews, live streaming technologies, studio workflows, edit and post- production techniques, production calendars and staffing - Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience - 3+ years working directly with studios, post-production facilities, VFX companies, or media technology vendors - Excellent communication skills - ability to present complex technical concepts to both engineering teams and creative executives ## Nice to Have - Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering) - Direct experience with large language models (LLMs), diffusion models, or multimodal foundation models in production settings - Familiarity with Amazon Bedrock, SageMaker, or similar managed AI/ML platforms - Experience with media-specific AI use cases: automated QC, content analysis, synthetic media generation, AI-assisted editing, intelligent metadata tagging, virtual production - Understanding of media standards and formats - Track record of thought leadership - published papers, conference talks, patents, or open-source contributions ## Benefits - Inclusive Team Culture - Mentorship & Career Growth - Work/Life Balance - Amazon is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.