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

Sr. Solutions Architect, Media & Entertainment, Games and Sports (MEGS)
Job ID: 10456517 | 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 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 & Compensation

Base salary range: 153,600.00 – 207,800.00 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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