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

Amazon Amazon · Big Tech · Culver City, CA · Solutions Architect

Senior Solutions Architect for AWS MEGS vertical, focusing on helping media and entertainment customers adopt AI services and architectures to transform creative and operational workflows. The role involves designing and architecting solutions, building proofs-of-concept, and acting as a trusted technical advisor for GenAI adoption.

What you'd actually do

  1. Serve as a trusted technical advisor to major studio and content creation customers on GenAI adoption strategies
  2. Design and architect solutions leveraging cloud solutions for media workflows (script analysis, content generation, VFX pipeline automation, metadata enrichment, dubbing/localization, etc.)
  3. Build and deliver proof-of-concept implementations, reference architectures, and technical content tailored to studio audiences
  4. Partner with AWS service teams to shape the product roadmap based on customer feedback
  5. Collaborate with Account Solutions Architects and Account Managers to identify and progress solutions that deliver value to customers

Skills

Required

  • 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

What the JD emphasized

  • practical machine learning experience
  • Direct experience with large language models (LLMs), diffusion models, or multimodal foundation models in production settings
  • Experience with media-specific AI use cases: automated QC, content analysis, synthetic media generation, AI-assisted editing, intelligent metadata tagging, virtual production

Other signals

  • customer-facing solutions
  • AI services adoption
  • GenAI strategies
  • media workflows