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Enterprise AI Deployment Engineer

AI-powered no-code tool for designing and deploying AI workflows using Large Language Models to automate business processes.
$80,000 - $130,000
Machine Learning
Mid-Level Software Engineer
In-Person
11 - 50 Employees
3+ years of experience
AI · Enterprise

Description For Enterprise AI Deployment Engineer

StackAI is revolutionizing enterprise AI deployment with their no-code drag-and-drop platform for building and deploying AI workflows. As an Enterprise AI Deployment Engineer, you'll be at the forefront of implementing AI solutions for Fortune 500 clients.

The role combines technical expertise in AI/ML, particularly in Retrieval-Augmented Generation (RAG) pipelines and LLM workflows, with strategic client engagement. You'll work directly with enterprise customers to design, optimize, and support AI solutions using the Stack AI platform.

Your responsibilities will span both technical implementation and business development:

  • Optimizing and supporting AI solutions for strategic enterprise accounts
  • Mapping technical requirements and building relationships with key stakeholders
  • Contributing to go-to-market strategy based on client feedback
  • Managing high-value opportunities from forecast to close
  • Leading product demonstrations and pitching to stakeholders
  • Representing Stack AI at enterprise events

This is an ideal role for someone who combines:

  • Strong technical background in data science, software development, or generative AI (3+ years)
  • Experience working with enterprise clients, especially Fortune 500
  • Deep expertise in AI/ML, particularly RAG pipelines and LLM workflows
  • Entrepreneurial mindset and ability to thrive in a fast-paced environment
  • Willingness to travel 10-20% for client engagement

Join StackAI to help enterprises leverage cutting-edge AI technology for:

  • Building intelligent chatbots and assistants using internal data and APIs
  • Processing and extracting insights from complex documents
  • Connecting LLMs with databases for natural language queries
  • Automating content creation and format transformation

This role offers the opportunity to shape how enterprises adopt and implement AI technology, working with a innovative platform that's making advanced AI capabilities accessible through visual interfaces.

Last updated 19 hours ago

Responsibilities For Enterprise AI Deployment Engineer

  • Optimize and support solutions within strategic accounts on the Stack AI platform
  • Map requirements and relationships within target enterprise customer offices
  • Pursue opportunities and provide feedback on our go-to-market strategy
  • Forecast and close high-value opportunities
  • Write proposals, pitch stakeholders, and lead product demos
  • Evangelize Stack AI at enterprise events

Requirements For Enterprise AI Deployment Engineer

  • 3+ years of experience in data science, software development, or generative AI
  • Experience with strategic enterprise accounts, preferably Fortune 500
  • Expertise in AI/ML, RAG pipelines, LLM workflows, or large analytic programs
  • Eagerness to build a business in a fast-paced environment
  • Ability to travel 10-20% of the time

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