SVP, AI Infrastructure & Automation Architect

Modis

New York (NY)

Sur place

USD 150 000 - 180 000

Plein temps

Il y a 15 heures
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Avantages offerts par ce poste

401(k) with match
Comprehensive medical insurance
Dental insurance
Vision assistance
Paid Time Off
Paid Holidays Off

Résumé du poste

Modis is seeking an SVP – AI Infrastructure Solution Engineer for a Direct Hire position in New York, NY. The role targets enterprise-grade infrastructure automation and AI initiatives.

Ideal candidates bring 10+ years in software engineering, 5+ years leading large teams, and experience with AI, automation, and governance in financial services environments. This senior leadership role focuses on strategic framework and scalable tech delivery.

Qualifications

  • Experience within financial services, banking, or highly regulated enterprises.
  • Background building omnichannel customer or employee support solutions.
  • Experience with enterprise AI platforms and agent-based architectures.
  • Advanced degree in Computer Science, Engineering, or related discipline.

Responsabilités

  • Define and execute the engineering roadmap for enterprise infrastructure automation.
  • Lead adoption of AI and Generative AI to improve operations.
  • Drive API-first architecture, integration standards, and governance across platforms.
  • Design scalable automation frameworks and intelligent service delivery capabilities.
  • Develop conversational AI solutions for internal infrastructure support.
  • Establish metrics and KPIs to measure automation impact and business value.

Connaissances

Engineering Leadership
AI & Automation
Conversational AI
RAG
APIs & Integration
Automation Frameworks

Formation

Advanced degree in Computer Science or Engineering

Outils

Enterprise AI platforms
Agent-based architectures

Description du poste

Modis is seeking an SVP – AI Infrastructure Solution Engineer for a Direct Hire position in New York, NY. The role targets enterprise-grade infrastructure automation and AI initiatives.

Ideal candidates bring 10+ years in software engineering, 5+ years leading large teams, and experience with AI, automation, and governance in financial services environments. This senior leadership role focuses on strategic framework and scalable tech delivery.

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