Global Head of AI Platform Engineering, SVP
About The Position
We are looking for a leader to design, build, and operate enterprise AI platforms at scale, enabling secure, scalable, and high-performance capabilities across Traditional AI/ML, Generative AI, and Agentic AI—using modern engineering, Agile, and Site Reliability Engineering (SRE) practices. The Head of AI Platform Engineering is accountable for delivering and operating enterprise-grade AI platforms that enable State Street to develop, deploy, and scale AI capabilities across all businesses and functions. This is a deep engineering leadership role, leading a global organization of 100+ engineers to build and run AI platforms spanning: Machine Learning (ML), Generative AI (LLMs and foundation models), and Agentic AI systems and orchestration frameworks. The role combines advanced AI/ML and distributed systems engineering, a platform product mindset (platforms as reusable services), SRE discipline (reliability, observability, scalability), and Agile execution (rapid iteration and continuous delivery). The role works in close partnership with Data Platform Engineering, Data Architecture, Data & AI Strategy, Portfolio & Value, and Responsible Data, AI Governance & Risk. This leader is central to enabling a scalable, reusable AI ecosystem across Investment Services, Investment Management, Wealth, Alpha, Global Markets, and control functions. Success is measured by platform adoption, engineering quality, scalability, performance, and the ability to accelerate AI innovation across the enterprise.
Requirements
- Senior leadership experience managing large-scale (100+) engineering organizations.
- Deep expertise in AI/ML platforms and systems.
- Deep expertise in Generative AI and LLM ecosystems.
- Deep expertise in Distributed systems and cloud-native architectures.
- Proven experience building production-grade AI platforms at enterprise scale.
- Strong experience implementing SRE practices for AI systems.
- Strong experience implementing Agile and product-based engineering models.
- Experience in financial services or similarly complex, regulated environments preferred.
- Deep AI and platform engineering leader with strong technical credibility.
- Combines innovation with disciplined execution.
- Brings a strong platform-as-a-product mindset.
- Able to operate across cutting-edge AI and enterprise-scale systems.
- Collaborative leader across data, architecture, and business teams.
Responsibilities
- Design, build, and operate AI platforms as enterprise products, including ML development, training, and inference platforms; Generative AI platforms (LLM integration, orchestration, prompt systems); Agentic AI frameworks and runtime environments.
- Own the full lifecycle: Platform engineering and development, Deployment and operations, Continuous optimization and evolution.
- Lead a global organization of 100+ engineers across AI/ML platform engineering, LLM and GenAI engineering, Agentic AI and workflow orchestration, and Platform reliability engineering.
- Build strong leadership layers and domain-aligned teams.
- Drive a culture of Engineering excellence, Innovation with discipline, Ownership and accountability.
- Establish and embed SRE practices across AI platforms: SLAs, SLOs, and error budgets, Observability across models and pipelines, Incident management and operational playbooks.
- Ensure production-grade reliability for Model training and inference, API-based AI services, Agent-based systems.
- Automate monitoring, scaling, and recovery for AI workloads.
- Implement modern Agile and product-centric engineering practices.
- Manage platforms as products, including: Roadmap alignment with enterprise strategy, Continuous delivery and iteration, Feedback loops from users (engineers, data scientists, product teams).
- Drive disciplined execution through: Backlog prioritization, Sprint-based delivery, Outcome-based measurement.
- Deliver and evolve platforms across: ML platforms (experimentation, training, deployment, feature pipelines), Generative AI platforms (LLM orchestration, prompt management, evaluation), Agentic AI platforms (multi-agent systems, task orchestration, automation workflows).
- Support both Centralized enterprise capabilities and Domain-specific customization.
- Leverage enterprise data platforms to enable: High-quality training datasets, Feature engineering pipelines, Access to structured and unstructured data.
- Ensure tight integration of: Data pipelines, Feature stores, Vector and embedding data systems.
- Build reusable AI platform services, including: APIs and SDKs for model access, Standardized pipelines and workflows, Shared components for prompt, model, and agent management.
- Reduce duplication and accelerate development across business teams.
- Engineer platforms to support: Large-scale model training and inference, High-throughput, low-latency AI services.
- Optimize across: Compute utilization (GPU/accelerators), Cost efficiency, Model performance.
- Deliver developer-first AI platforms, including: Self-service model development and deployment, Tooling for experimentation and evaluation, Simplified integration into business applications.
- Reduce friction for: Data scientists, ML engineers, Application developers.
- Evaluate and incorporate: Emerging AI models and frameworks, Advances in GenAI and agentic systems, New tooling and infrastructure innovations.
- Drive ongoing modernization of AI platforms.
- Partner with Global Technology Services (GTS), Cloud and infrastructure engineering teams, Cyber security and platform engineering.
- Ensure AI platforms meet enterprise standards for: Security, Scalability, Operational resilience.
Benefits
- our 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 our 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
- inclusive development opportunities
- flexible work-life support
- paid volunteer days
- vibrant employee networks
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What This Job Offers
Job Type
Full-time
Career Level
Executive
Education Level
No Education Listed
