Principal Solutions Developer , Prototyping and Customer Engineering (pace)

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

Principal Solutions Developer role focused on building prototypes and customer engineering solutions using AI, Agentic Design, Serverless, and multimodal Generative AI. The role involves partnering with customers to explore new technical grounds, craft scalable solutions, and accelerate AWS adoption. It requires a builder's mentality, technical depth, business acumen, and the ability to operate independently in ambiguous environments.

What you'd actually do

  1. As a Principal Solutions Developer, you will partner with customers and AWS account and service teams to craft highly scalable, flexible, and resilient solutions that address customer business problems and accelerate AWS adoption.
  2. You'll shape and build prototypes across domains including Machine Learning, Agentic Design, Serverless Architecture, and multi-modal Generative AI—with most projects exploring the art of the possible using the latest methods, frameworks, services, and models.
  3. You'll work across industry verticals including automotive, energy, healthcare, telecommunications, manufacturing, and media and entertainment.
  4. The ability to connect technology with measurable business value is critical—you will help drive revenue growth and strategic outcomes for customers, influencing adoption decisions and accelerating customer success with AWS.
  5. You must be hands-on with deep experience and knowledge, articulate in communication, and capable of mentoring team members.

Skills

Required

  • cloud architectures and platforms
  • emerging technologies
  • Machine Learning
  • Agentic Design
  • Serverless Architecture
  • multi-modal Generative AI
  • technical depth
  • business acumen
  • interpersonal skills
  • design and architecture knowledge
  • development capability
  • exceptional judgment

Nice to have

  • AWS services

What the JD emphasized

  • builder's mentality
  • technical feasibility
  • measurable business value is critical
  • operate with complete independence in ambiguous environments
  • deep experience and knowledge
  • Own key development tasks from design through implementation with minimal supervision
  • Thought leadership in AI-assisted coding methods and tools is essential

Other signals

  • prototyping
  • customer facing
  • experimental
  • generative AI
  • agentic design