AI Solutions Engineer / AI Solutions Architect - Visual Generative AI
$150,000 - $180,000
New York - 3x days WFH
 
We’re partnered with a pioneering enterprise-grade Visual GenAI platform that has been shaping the responsible AI landscape for over five years. Backed by leading global investors and trusted by some of the world’s largest brands, this company is building the infrastructure for the next generation of safe, scalable, and brand-consistent AI-driven products and services.
 
Now, they’re looking for a Technical AI Solutions Engineer / Solutions Architect to help enterprise customers unlock the full value of their platform. You’ll be the bridge between customers and internal teams, ensuring adoption, ROI, and long-term success.
You’ll work hands-on with developers, product managers, and technical decision-makers, helping them integrate cutting-edge generative visual AI into their workflows.
 
Why Join?
  • Be part of a category-defining AI company that’s shaping the future of responsible GenAI.
  • Work with globally recognized enterprise clients across multiple industries.
  • Have a direct impact on product evolution through customer insights.
  • Join a team at the forefront of AI innovation with deep expertise in generative visual technologies.
 
What You’ll Be Doing
  • Own the post-sales relationship with a portfolio of technical enterprise customers.
  • Guide onboarding, technical enablement, and adoption of the platform.
  • Act as a trusted advisor, helping customers translate technical capabilities into business impact.
  • Work directly with client engineering teams to integrate APIs and platform capabilities.
  • Troubleshoot across the stack (APIs, model behaviour, latency, deployment).
  • Lead workshops, demos, and training sessions for technical stakeholders.
  • Gather and translate customer feedback into product improvements.
  • Collaborate with Product, Engineering, Sales, and Support to advocate for customer needs.
 
Requirements:
Must-Haves
  • 3–6 years in a SaaS technical customer-facing role (Customer Success Engineer, Solutions Engineer, or Technical Account Manager).
  • Proficiency with API integrations, scripting (Python or JavaScript), and cloud platforms (AWS, GCP, or Azure).
  • Strong grasp of machine learning and generative AI fundamentals, especially computer vision.
  • Ability to translate technical capabilities into business value.
  • Proven success supporting technical customers at a B2B SaaS or AI/ML platform company.
  • Excellent communication, relationship management, and organizational skills.
Nice-to-Haves
  • Hands-on experience with generative models (diffusion, transformers) or visual AI systems.
  • Familiarity with MLOps workflows, model deployment, or on-device inference.
  • Exposure to creative industries (media, marketing, design).
  • Background in data science, software engineering, or applied AI.