Customer Solutions Manager, Prototyping & Customer Engineering

Amazon Amazon · Big Tech · NY +1 · Solutions Architect

This role focuses on managing AI-focused customer engagements end-to-end, partnering with engineers and designers to deliver AI solutions using technologies like LLMs, RAG, and autonomous agents. The role involves orchestrating customer engagements, facilitating AI solution design, and ensuring prototypes align with customer outcomes and responsible AI practices.

What you'd actually do

  1. Own strategic AI-focused customer engagements from kick-off through delivery, applying Working Backwards methodology to define solution requirements, success criteria, and scope
  2. Facilitate PACE Prototyping Engineers and Design Technologists in AI solution design and agentic architecture patterns, coordinating adoption of AI-driven development tools to accelerate delivery
  3. Partner with Global Sales and Solutions Architecture teams to identify and qualify Generative AI and Agentic AI opportunities, supporting PACE leadership with program-level strategy
  4. Build and maintain relationships with customer executives and AWS leadership through structured communications, operational reviews, and clear reporting on AI outcomes and business impact
  5. Establish engagement metrics, track delivery velocity, and contribute to program-level KPIs that measure success

Skills

Required

  • AI technologies
  • cloud architectures & platforms
  • emerging technologies
  • customer engagements
  • large language models
  • RAG architectures
  • autonomous agents
  • AI-driven development tools
  • Working Backwards methodology
  • agent orchestration patterns
  • Generative AI
  • Agentic AI
  • program-level strategy
  • structured communications
  • operational reviews
  • reporting on AI outcomes
  • engagement metrics
  • delivery velocity
  • program-level KPIs
  • team efficiency
  • prototype delivery speed
  • knowledge sharing
  • risks specific to AI implementations
  • mitigation strategies
  • product thinking
  • responsible AI practices
  • production readiness
  • long-term customer value

Nice to have

  • builder’s mentality
  • passion for technology
  • quick to pick up emerging technologies
  • experiment with innovative approaches
  • validate the technical feasibility of solutions
  • ambiguous problems
  • move fast while maintaining quality
  • data science team
  • infrastructure team
  • AWS Solutions Architects
  • Sales
  • stakeholder sync
  • team retrospective
  • connective tissue
  • unprecedented speed
  • transformative AI

What the JD emphasized

  • AI-focused customer engagements
  • agentic architecture patterns
  • Generative AI and Agentic AI opportunities
  • AI outcomes
  • AI implementations
  • responsible AI practices

Other signals

  • AI-focused customer engagements
  • large language models
  • RAG architectures
  • autonomous agents
  • AI-driven development tools
  • agent orchestration patterns