Forward Deployed Engineer - LLM/Gen AI

• Solid understanding of data platforms — data lakes, pipelines, transformation, and how data flows from source to AI model
  
• Working knowledge of Generative AI, LLMs, and RAG pipelines — enough to scope deliverables and review outputs critically
  
• Ability to read and understand data models, architecture diagrams, and API specs — you don't write production code but understand what's being built
  
• Cloud platforms — AWS and/or Azure — data and AI services at a conceptual and delivery level
  
• Familiarity with Snowflake, Databricks, or equivalent — enough for informed conversations with data engineers
  
• Experience using AI platforms and tools to rapidly prototype and demonstrate solutions to clients
  

• 6–10 years in AI/data product delivery, technical consulting, or engineering — not pure product management
  
• Proven ability to run discovery independently — without a senior consultant holding your hand
  
• Strong client-facing presence — comfortable presenting to senior business and technology stakeholders
  
• Experience writing SOWs, project proposals, or technical specifications that get signed off by clients
  
• Track record of owning delivery outcomes — accountable for the result, not just managing tasks
  
• Experience in consulting, professional services, or embedded delivery model strongly preferred
  
• Ability to manage multiple workstreams simultaneously in a fast-paced pod environment
  

Requirements

Originally posted on Himalayas