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.
The ideal candidate combines deep hands-on experience with AI/ML with a strong understanding of how content is made in Hollywood from development through post-production and distribution. You will be the bridge between
AWS AI 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
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.
Why
AWS?
Amazon Web Services (
AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at
AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
- 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
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Culver City - 153,600.00 - 207,800.00 USD annually