AI Orchestration Architect

Edflex

Paris

Sur place

EUR 65 000 - 90 000

Plein temps

14 jours+

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Résumé du poste

Edflex is seeking an AI Agent Orchestration Specialist to orchestrate internal AI agents, translate business needs into automated workflows, and drive measurable impact across teams. You will design, prototype and ship agents that automate internal processes and client-facing scenarios, connecting KPIs to real productivity gains.

Ideal candidates have 3–5 years in AI/automation in a B2B SaaS setting, strong API/SDK skills, and the ability to work with non-technical teams to implement scalable AI

Qualifications

  • 3–5 years in AI/automation projects within a B2B SaaS environment.

Responsabilités

  • Prioritise and deploy AI use cases from tracker; design, prototype and ship AI agents.
  • Integrate agents across the Edflex ecosystem: HubSpot, Planhat, Slack, APIs.
  • Architect multi-agent workflows combining curation, recommendation and analytics agents.
  • Define human-in-the-loop patterns for critical decisions and outputs.
  • Collaborate with COO, CTO and business teams to translate needs into agent instructions.
  • Measure business impact: time saved, leads, client satisfaction, churn reduction.
  • Define quality, security and compliance standards (GDPR, data handling) for agents.
  • Lead technology watch and arbitrate the agent roadmap with leadership.

Connaissances

AI orchestration frameworks
LLMs
REST APIs
Webhooks
Automation tools
Python
TypeScript
CI/CD
AWS
B2B SaaS
Cross-functional collaboration

Formation

Bachelor's degree in CS/Engineering

Outils

HubSpot
Planhat
Slack
n8n
Make
Zapier
Internal APIs
AWS

Description du poste

Edflex is seeking an AI Agent Orchestration Specialist to orchestrate internal AI agents, translate business needs into automated workflows, and drive measurable impact across teams. You will design, prototype and ship agents that automate internal processes and client-facing scenarios, connecting KPIs to real productivity gains.

Ideal candidates have 3–5 years in AI/automation in a B2B SaaS setting, strong API/SDK skills, and the ability to work with non-technical teams to implement scalable AI

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