AI Deployment Engineer (east)

Writer Writer · AI Frontier · New York, NY · Delivery & customer success

This role focuses on deploying and implementing AI-powered solutions for enterprise customers using WRITER's platform and LLMs. The engineer will partner with customers to identify use cases, architect and deliver custom applications, and ensure successful adoption, acting as a bridge between customer needs and the company's AI capabilities.

What you'd actually do

  1. Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions
  2. Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges
  3. Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape
  4. Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation
  5. Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations

Skills

Required

  • Python
  • APIs
  • prompt design
  • linguistic principles for AI
  • solutions architecture
  • technical consulting
  • technical account management
  • customer-facing technical roles
  • Fortune 500 enterprise solutions
  • B2B SaaS environment
  • communication
  • executive presence

Nice to have

  • Knowledge Graph capabilities

What the JD emphasized

  • owning the end-to-end implementation
  • architecting and delivering complex technical solutions
  • simplifying complex AI concepts
  • builder's mentality
  • Connect with customers and internal teams
  • Challenge the status status quo with innovative solutions
  • Own the successful outcomes

Other signals

  • enterprise-grade LLMs
  • AI agents
  • customer-facing AI solutions
  • platform implementation