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

• We are seeking a Senior Solutions Architect to join AWS's Media, Entertainment, Games & Sports team. This role focuses on helping studio, post-production, and content creation customers adopt cloud services

Description

• We are seeking a Senior Solutions Architect to join AWS's Media, Entertainment, Games & Sports team. This role focuses on helping studio, post-production, and content creation customers adopt cloud services and architectures that transform their creative and operational workflows. The ideal candidate pairs a deep, hands-on understanding of how content is made in Hollywood, from development through post-production and distribution, with strong AI/ML experience. You will be the bridge between AWS's cloud capabilities and the real-world challenges facing studios, VFX houses, and content creators. Key job 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

Basic Qualifications

• - 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

Preferred Qualifications