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State Street

Global Head of AI Platform Engineering – SVP

State Street

Leading enterprise AI platform engineering to develop, deploy, and scale AI capabilities across State Street. Managing a global team of 100+ engineers while ensuring operational excellence and innovation.

Posted 6/19/2026full-timeBoston • Massachusetts, New Jersey • 🇺🇸 United StatesLead💰 $225,000 - $337,500 per yearWebsite

Tech Stack

Tools & technologies
CloudDistributed Systems

About the role

Key responsibilities & impact
  • Design, build, and operate enterprise AI platforms at scale
  • Lead a global organization of 100+ engineers
  • Develop, deploy, and scale AI capabilities across all businesses and functions
  • Establish and embed SRE practices across AI platforms
  • Implement modern Agile and product-centric engineering practices
  • Build strong leadership layers and domain-aligned teams

Requirements

What you’ll need
  • Senior leadership experience managing large-scale (100+) engineering organizations
  • Deep expertise in AI/ML platforms and systems
  • Generative AI and LLM ecosystems
  • Distributed systems and cloud-native architectures
  • Proven experience building production-grade AI platforms at enterprise scale
  • Strong experience implementing SRE practices for AI systems
  • Agile and product-based engineering models
  • Experience in financial services or similarly complex, regulated environments preferred

Benefits

Comp & perks
  • retirement savings plan (401K) with company match
  • insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
  • paid-time off including vacation, sick leave, short term disability, and family care responsibilities
  • access to Employee Assistance Program
  • incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
  • eligibility for certain tax advantaged savings plans

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI platformsML platformsGenerative AILLM ecosystemsDistributed systemsCloud-native architecturesSRE practicesAgile engineeringProduct-centric engineeringProduction-grade AI
Soft Skills
LeadershipTeam buildingOrganizational managementCommunication