Open role · Engineering

AI Solutions Specialist

Work mode: Remote (EST preferred) Engagement type: Independent contractor, full-time or project-based Req ID: GDBI-5E7G9B3D

Role summary

Shape and scale the commercial motion for NoèmeX’s AI and platform portfolio by combining technical AI delivery, customer proofs-of-concept and enterprise solution selling.

What you’ll do

  • Co-sell AI/ML opportunities with account teams and qualify high-value enterprise use cases.
  • Run proofs-of-concept that demonstrate practical AI workflows and measurable business value.
  • Translate business problems into AI solution narratives, architectures and implementation plans.
  • Work hands-on with AI workflows, automation and data integration during customer pursuits.
  • Build repeatable technical-sales programs, playbooks and reporting for the wider team.
  • Partner with Product, Engineering, Data Science and Sales across North American and international opportunities.

What you should bring

  • Combination of technical AI/ML capability and customer-facing commercial experience.
  • Ability to scope and implement proofs-of-concept using modern AI and automation tools.
  • Strong project-management skills across technical and business stakeholders.
  • Excellent executive communication and value-storytelling skills.
  • Understanding of enterprise data foundations, integration and AI deployment constraints.
  • Comfort operating in an evolving product and go-to-market environment.

Useful additional experience

  • Enterprise AI pre-sales
  • Agentic or workflow automation
  • Financial-services experience
  • French or other international-language capability

How we work

NoèmeX teams stay close to the business problem and the production system. You may work across client delivery, platform development or internal capabilities depending on the role. We value clear specifications, maintainable architecture, disciplined execution and direct communication.

Hiring process

The exact assessment varies by role. Shortlisted candidates should expect an initial conversation followed by a role-relevant technical, practical or structured panel assessment before a final decision.

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