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

Amazon Amazon · Big Tech · Austin, TX · Solutions Architect

Senior Specialist Solutions Architect focused on Agentic AI and Generative AI/ML workloads for enterprise customers on AWS. This role involves translating customer business challenges into technical solutions, designing and deploying architectures, engaging with senior stakeholders, and providing feedback to product teams. The role requires hands-on expertise in traditional ML, LLMs, RAG, fine-tuning, prompt engineering, agents, and AIOps.

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 business challenges translation
  • AWS Generative AI and ML services
  • SageMaker
  • Amazon Bedrock
  • Amazon AgentCore
  • Amazon Rekognition
  • Amazon Transcribe
  • Amazon QuickSight
  • Amazon Personalize
  • LLMs
  • RAG
  • fine-tuning
  • AI system evaluation
  • prompt engineering
  • agents
  • AIOps
  • architectural trade-offs
  • risks
  • long-term strategy

Nice to have

  • Sales
  • Business Development

What the JD emphasized

  • deep technical expertise
  • executive-level customer engagement
  • deep technical background
  • business acumen required to lead complex engagements with large enterprises
  • hands-on expertise in traditional ML concepts as well as current areas such as LLMs, RAG, fine-tuning, AI system evaluation, prompt engineering, agents, and AIOps

Other signals

  • customer-facing
  • pre-sales
  • solution design
  • architectures
  • LLMs
  • RAG
  • fine-tuning
  • agents
  • AIOps