Specialist Sa, Genai Ngde Media & Entertainment , Aspi Megs

Amazon Amazon · Big Tech · Santa Monica, CA · Solutions Architect

Solutions Architect focused on accelerating Generative AI, Agentic AI, and ML adoption for Media & Entertainment customers. The role involves acting as a trusted technical advisor, defining cloud-native GenAI and Agentic AI architectural patterns, and driving adoption of AI-powered development platforms. Responsibilities include owning technical relationships, designing enablement programs, contributing thought leadership, and influencing product roadmaps.

What you'd actually do

  1. Own the technical AI/ML relationship with our most strategic M&E customers, acting as their trusted advisor on Generative AI, Agentic AI, and ML adoption, architecture, and go-to-market strategy.
  2. Design and deliver AI-focused enablement programs: workshops, reference architectures, code samples, and best-practice guides, that uplift partner AI capability at scale.
  3. Contribute thought leadership through whitepapers, blogs, event presentations, and hands-on deep dives that help partners and customers innovate with AI and ML technologies.
  4. Collaborate cross-functionally with Account SAs, AI Specialists, Sales, Business Development, and AWS service teams to accelerate customer adoption of partner AI solutions.
  5. Act as voice of the partner internally, channeling feedback to influence the AWS GenAI/ML and Agentic features roadmap.

Skills

Required

  • design, implementation, or consulting in applications and infrastructures
  • specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
  • IT development or implementation/consulting in the software or Internet industries
  • AI developer tooling experience from AWS partners such as Anthropic Claude Code, OpenAI Codex, or similar AI-powered development platforms
  • designing and implementing production AI systems

Nice to have

  • Experience working within software development or Internet-related industries
  • Experience migrating or transforming legacy customer solutions to the cloud
  • Experience working with AWS technologies from a dev/ops perspective

What the JD emphasized

  • Generative AI
  • Agentic AI
  • ML adoption
  • architectural patterns
  • AI developer tooling experience
  • production AI systems

Other signals

  • customer-facing role
  • architectural patterns
  • enablement programs
  • thought leadership