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Architecte de solutions IA | AI Solutions Architect

Manos Software Group
Montreal, CAN
Full Time
Mid
Today
AI AgentsLarge Language ModelsMachine LearningAgent FrameworksProduct DevelopmentRapid Prototyping
Free

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AI AgentsLarge Language ModelsMachine Learning
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About the Role

  • Design, build, and ship AI agent systems that transform operations or become standalone products.
  • Embedded directly inside Manos Software portfolio companies.
  • Build AI agents that handle real work: customer service, sales outreach, onboarding, documentation, and more.

What You'll Do Build Internal AI Agent Teams

  • Design and deploy AI agents for operational work across portfolio companies.
  • Measure impact in hours of labor replaced or team output increased.
  • Work directly with operators to identify highest value automation opportunities.

Build External AI Products

  • Develop new AI powered products such as vertical voice agents, AI copilots, workflow automation tools, and AI documentation systems.
  • Own the product from prototype through launch, including reaching first paying customers.
  • Use existing portfolio company distribution across 30+ companies to validate and scale.

Ship and Iterate

  • Move fast from idea to MVP to production.
  • Run beta tests with real users, gather feedback, and improve continuously.
  • Collaborate cross functionally with product, engineering, and go to market teams.

What You Bring

  • Proven track record of building products, tools, projects, startups, or side projects that went live.
  • Strong working knowledge of AI and machine learning tools, large language models, and agent frameworks.
  • Ability to go from zero to functional prototype quickly.
  • Comfort with ambiguity.
  • Bias toward action over planning.

Nice to Have

  • Experience building AI agents, voice agents, or workflow automation.
  • Background in vertical SaaS or B2B product development.
  • Familiarity with industries like HVAC, healthcare, dental, or professional services.
  • Previous startup or founder experience.
  • Experience working across multiple product lines or business units.

Not Required

  • CS degree or Ivy League credentials.
  • FAANG on resume.
  • Years of formal AI/ML research experience.

Compensation

  • Base salary: Competitive.
  • Variable compensation: Aggressive performance based pay tied to value created.
  • Equity: Available.
  • Benefits: Health coverage, housing support if relocating, and dedicated building budget for APIs, tools, and infrastructure.

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