AI Sales Engineer/Solution Architect

Posted 18 December 2025
LocationUnited States of America
Job type Permanent
Reference34668

Job description

AI Sales Engineer – Enterprise / ML Platform

Overview

We’re partnered with a fast-growing AI/ML platform company to hire an AI Sales Engineer. This is a pre-sales role working closely with Account Executives to drive technical discovery, demos, and proofs-of-concept for enterprise customers.

Who You Are

  • Experienced technical pre-sales or solutions engineer in AI/ML or data platforms

  • Able to simplify complex ML concepts for technical and non-technical audiences

  • Comfortable engaging enterprise stakeholders and driving adoption

  • Self-directed, quick learner, and able to operate in ambiguity

The Role

  • Partner with sales to understand customer ML stacks and articulate platform value

  • Lead product demos and proofs-of-concept

  • Serve as a trusted technical advisor to enterprise customers

  • Collaborate with product, engineering, and marketing to address technical challenges and enhance materials

Key Responsibilities

Customer Engagement

  • Build strong relationships with technical stakeholders

  • Lead discovery sessions and technical presentations

  • Address objections and develop solutions in collaboration with internal teams

Technical Expertise

  • Provide ML domain expertise to customers and internal teams

  • Support creation of enablement materials, blog posts, and demos

  • Participate in ML communities to share insights and raise awareness

Collaboration & Enablement

  • Work closely with Sales, Product, and Engineering teams

  • Contribute to internal knowledge sharing and documentation

Experience & Skills

  • 5+ years in pre-sales, technical consulting, or customer-facing technical roles

  • Familiarity with ML frameworks (scikit-learn, HuggingFace, fastai, etc.)

  • Proficiency in Python and Linux/Unix environments

  • Strong communication, problem-solving, and presentation skills

Bonus / Nice-to-Have

  • Previous experience in high-growth tech companies

  • Exposure to MLOps, data engineering, or cloud platforms (AWS/GCP/Azure)