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

Job in Culver City, Los Angeles County, California, 90232, USA
Listing for: Amazon
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 153600 - 207800 USD Yearly USD 153600.00 207800.00 YEAR
Job Description & How to Apply Below
Position: Sr. Solutions Architect, Media & Entertainment, Games and Sports (MEGS)

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

Job :  | Amazon Web Services, Inc.

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 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.
Qualifications
  • 8+ years of experience in technology domain areas such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
  • 3+ years of design, implementation, or consulting in applications and infrastructures.
  • 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 (Solutions Architecture, Cloud Security Professional, or Cloud Dev Ops Engineering).
  • Direct experience with large language models (LLMs), diffusion models, or multimodal foundation models in production settings.
  • Familiarity with Amazon Bedrock, Sage Maker, 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 & Compensation
  • Base salary range:  –  USD annually (Culver City, CA).
  • Sign‑on payments and restricted stock units (RSUs).
  • Comprehensive benefits: health insurance (medical, dental, vision, prescription), basic life & AD&D insurance, supplemental life plans, Employee Assistance Program, mental health support, medical advice line, flexible spending accounts.
  • Adoption and surrogacy reimbursement coverage.
  • 401(k) matching.
  • Paid time off and parental leave.
EEO Statement

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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