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

About the role

We are seeking a Senior Solutions Architect to join AWS's Media, Entertainment, Games & Sports vertical. This role will focus on helping studio, post-production, and content creation customers adopt AI services and architectures to transform their creative and operational workflows.

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

A day in the life

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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

• 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