Amazon
Sr. Solutions Architect, Media & Entertainment, Games and Sports (MEGS)
$154K–$208K
Santa Monica, CA · Senior · Full-time · Posted Aug 25, 2026
- Experience
- 8+ years in technology domains; 3+ years in application and infrastructure design, implementation, or consulting; 10+ years in IT development or implementation/consulting in software or Internet industries.
About the job
Provides AWS architectural guidance and solutions for a major entertainment company’s advertising technology platform, while educating customers and partners and shaping industry adoption.
What you'll do
- Architect and deliver solutions using AWS services and partner offerings; provide hands-on guidance to customers.
- Build industry partnerships and create enablement materials such as guidance, blogs, demos, proofs of concept, and presentations.
- Communicate complex advertising technology and content monetization concepts to customers, partners, and industry audiences.
What they ask for
- Experience in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics.
- Experience designing, implementing, or consulting on applications and infrastructure.
- Experience in IT development or implementation/consulting in software or Internet industries.
- Experience architecting or operating AWS solutions, and programming in at least one software programming language.
Nice to have
- Experience in data science, business analytics, business intelligence, or big data; influencing senior stakeholders; or solving technology problems in Media & Entertainment.
- Knowledge of production agentic AI systems and experience developing solutions with AI-assisted tools and agentic workflows; experience with large-scale advertising technology.
Pay
153,600.00 - 207,800.00 USD annually (base salary)
Tools
AWS, open-source, Independent Software Vendor (ISV), multi-agent orchestration, retrieval-augmented generation
AI focus
Preferred experience includes production agentic AI systems, multi-agent orchestration, retrieval-augmented generation, enterprise deployment patterns, and AI-assisted tools and agentic workflows.
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