Who we are looking for
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:
The role combines:
The role works in close partnership with:
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.
What you will be responsible for
Enterprise AI Platform Engineering
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
Large-Scale Engineering Leadership (100+ Organization)
Lead a global organization of 100+ engineers across:
AI/ML platform engineering
LLM and GenAI engineering
Agentic AI and workflow orchestration
Platform reliability engineering
Build strong leadership layers and domain-aligned teams
Drive a culture of:
Engineering excellence
Innovation with discipline
Ownership and accountability
Site Reliability Engineering (SRE) & AI Platform Operations
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
Agile Delivery & Platform Product Mindset
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
AI/ML, GenAI & Agentic AI Platform Capabilities
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
Domain-specific customization
Integration with Data Platforms
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
Reusable AI Services & Enterprise Abstractions
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
Performance, Scalability & Cost Optimization
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
Developer Experience & Enablement
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
Innovation & Continuous Evolution
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
Enterprise Technology Collaboration
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
Qualifications & Experience
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
Leadership Profile
Salary Range:
$225,000 - $337,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: 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); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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