Senior Specialist Solutions Architect - Agentic Ai, Ags Specialist Solutions Architects

Amazon Amazon · Big Tech · Palo Alto, CA · Solutions Architect

Senior Solutions Architect specializing in Agentic AI and Generative AI/ML workloads on AWS. This role involves translating customer business challenges into technical solutions, designing and deploying architectures leveraging AWS AI/ML services, and engaging with senior stakeholders to influence architectural decisions and provide feedback to product teams. The role also includes building proof-of-concepts for AI- and agent-enabled applications.

What you'd actually do

  1. Translate customer business challenges into solutions leveraging AWS.
  2. Define, design, and deploy targeted architectures that accelerate adoption of AWS Generative AI and ML services.
  3. Engage with senior engineers, architects, product leaders, data scientists, and executives at strategic enterprise customers to influence architectural decisions and provide structured feedback to AWS product teams.
  4. Build proof-of-concepts for AI- and agent-enabled applications, and provide feedback directly to service teams.
  5. Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon SageMaker and related services that support GenAI use cases.

Skills

Required

  • Customer-obsessed builder
  • Business acumen
  • Technical pre-sales expertise
  • Generative AI and ML workloads
  • Deep technical background
  • Executive-level customer engagement
  • Hands-on expertise in LLMs, RAG, fine-tuning, AI system evaluation, prompt engineering, agents, and AIOps
  • Architectural trade-offs, risks, and long-term strategy
  • AWS cloud platform and AWS AI/ML Services (SageMaker, Amazon Bedrock, Amazon AgentCore, etc.)

Nice to have

  • Thought Leadership
  • AWS blogs, whitepapers, reference architectures
  • Public-speaking events (AWS Summit, re:Invent)
  • Technical liaison between customers and service teams
  • Develop and support an AWS internal community of GenAI related subject matter experts

What the JD emphasized

  • deep technical expertise
  • executive-level customer engagement
  • deep technical background
  • business acumen
  • lead complex engagements with large enterprises
  • hands-on expertise

Other signals

  • customer-facing
  • pre-sales
  • solution architecture
  • generative AI
  • ML workloads
  • LLMs
  • RAG
  • fine-tuning
  • agents