Sr. Specialist Solutions Architect, Genai, Aws

Amazon Amazon · Big Tech · Singapore · Solutions Architect

Senior Specialist Solutions Architect focused on GenAI for startups within the AWS ecosystem. This role involves technical thought leadership, customer interaction at executive levels, developing go-to-market strategies, and guiding startups on adopting AWS AI services for inferencing and agentic workloads.

What you'd actually do

  1. Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships.
  2. Become a trusted advisor within startup founders through Technical Thought Leadership and demonstrate AWS values.
  3. Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels.
  4. Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan.
  5. Build technical relationships with decision makers and builders with startups operating as their trusted advisor, ensuring they include best practices for adopting AWS AI services for their inferencing and agentic workloads.

Skills

Required

  • 5+ years of management of technical, enterprise customer facing resources or equivalent experience
  • 5+ years of building machine learning models or developing algorithms for business application experience
  • 7+ years design/implementation/consulting experience of distributed applications

Nice to have

  • Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity.
  • Familiarity with open-source software used by Startups and working knowledge of software development tools and methodologies common to Startups.
  • Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers.
  • Cloud expertise as demonstrated by one or more cloud certifications.
  • Demonstrated ability to adapt to new technologies and learn quickly.
  • Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
  • Advanced degree highly preferred such as engineering, computer science, or MIS a plus.

What the JD emphasized

  • Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity.
  • Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.

Other signals

  • customer-facing role
  • startup ecosystem
  • GenAI focus
  • technical thought leadership
  • go-to-market strategy