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StateStreet

AI Platform and Ops Lead, Assistant Vice President

Salary$90k – $158k
LocationBoston, Massachusetts; Princeton, New Jersey; Clifton, New Jersey; Austin, Texas; Quincy, Massachusetts
Typefull-time
SeniorityVP
Experience4+ yrs
DepartmentCDAIO Organization
Company size10,000+ people
First seenOct 10, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have8
4+ years of experience as a full-time IT professional in cloud engineering, cloud support, platform engineering, site reliability engineering, DevOps, MLOps, AI platform engineering, or cloud administration roles
Experience designing, deploying, supporting, and operating Azure, AWS, or private cloud environments, including IaaS, PaaS, container platforms, managed services, and production support models
Experience with Terraform, Backstage, Harness, CI/CD pipelines, infrastructure-as-code, environment management, and deployment automation
Experience with Virtual Networks, Kubernetes, VMs, Secrets Store, messaging, Object Storage and File Stores, databases, AI/ML studios, LLM Services, and Databricks
Bachelor's degree in Computer Science, Math, Engineering, Information Technology, or a related technical field
Demonstrable experience deploying and supporting enterprise workloads in Azure, AWS, or private cloud with appropriate controls for security, resiliency, and operational monitoring
Proficiency with PowerShell, Python, shell scripting, or other automation languages used to manage cloud infrastructure and platform operations
Business Continuity, Disaster Recovery, resiliency testing, incident management, or production support experience
Nice to have2
Understanding of AI/ML lifecycle concepts, LLM services, model hosting patterns, responsible AI controls, MLOps, observability, and production readiness practices is preferred
Experience operating in a regulated financial services, risk-managed, or highly controlled technology environment is preferred
Skills
Generative AI
Machine Learning
Azure
AWS
Terraform
Backstage
Harness
CI/CD
Kubernetes
Databricks
PowerShell
Python
shell scripting
Benefits
Retirement savings plan
401(k)
Health insurance
Dental insurance
Vision insurance
Life insurance
Long term disability
Vacation
Sick leave
Short term disability
Family care leave
Employee assistance program
Incentive compensation
About the role
We are in search of an AI Platform and Ops Lead, Assistant Vice President with a strong background in Generative AI, Machine Learning, enterprise architecture, cloud platforms, platform operations, and scalable solution delivery. The ideal candidate will have hands-on experience designing, deploying, operating, and continuously improving secure, resilient, compliant AI platforms across Azure, AWS, and private cloud environments. This role requires depth in cloud infrastructure, AI/ML platform services, automation, production monitoring, identity and access management, operational resiliency, and governance controls. The candidate should be able to partner across business, engineering, security, data, architecture, and risk teams to enable reliable, responsible, and production-ready AI solutions for enterprise use cases.
What you will be responsible for
As AI Platform and Ops Lead, Assistant Vice President in the CDAIO Organization, you will
•
Lead the design, implementation, and day-to-day operations of secure, well-managed enterprise AI platform environments across Azure, AWS, and private cloud.
•
Configure, manage, and operationalize cloud and platform services including Virtual Networks, Kubernetes, virtual machines, secrets management, messaging, object storage, file stores, databases, AI/ML studios, LLM services, and Databricks.
•
Build and maintain automation scripts, infrastructure-as-code patterns, deployment pipelines, and repeatable platform runbooks to support scalable and controlled production releases.
•
Use native Azure, AWS, and private cloud services to meet enterprise technology, security, resiliency, observability, and compliance requirements.
•
Drive identity and access management, configuration management, monitoring, alerting, logging, incident response, and operational readiness strategies for AI platform workloads.
•
Partner with application, data, risk, cyber, architecture, and business teams to translate platform needs into reliable AI operations capabilities and reusable enterprise patterns.
•
Support production readiness reviews, resiliency testing, disaster recovery planning, vulnerability remediation, and platform control evidence required for regulated enterprise AI solutions.
•
Contribute to platform standards, governance practices, documentation, service onboarding processes, and continuous improvement of AI platform operations.
Why this role is important to us
Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data, insights, and trusted digital capabilities to our clients. We are driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence, machine learning, automation, and robotics process automation.
As AI adoption scales across the enterprise, secure and reliable platform operations are critical to helping teams move AI-enabled solutions from proof of concept into production. This role will help establish and operate the foundational capabilities required to deliver AI solutions that are resilient, compliant, observable, and aligned with enterprise architecture and risk expectations.
We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for technical talent to join our team and deliver practical technology solutions that help us become an end-to-end, next-generation financial services company.
Join us if you want to grow your technical skills, solve real problems, and make your mark on our industry.
What we value
Nice to have
These skills will help you succeed in this role
•
Strong critical thinking, problem solving, and decision-making skills with the ability to operate in a complex enterprise technology environment.
•
Demonstrated ownership mindset, operational discipline, and ability to drive issues from identification through resolution.
•
Experience working with large, global, and diverse teams across multiple locations and functions.
•
Good understanding of cloud services in AWS, Azure, or private cloud, with practical knowledge of enterprise security, networking, and resiliency expectations.
•
Ability to communicate effectively with technical and non-technical stakeholders and convert operational needs into clear actions, standards, and deliverables.
•
Interest in responsible AI, platform governance, automation, observability, and continuously improving operational maturity.
Education & Preferred Qualifications
•
4+ years of experience as a full-time IT professional in cloud engineering, cloud support, platform engineering, site reliability engineering, DevOps, MLOps, AI platform engineering, or cloud administration roles.
•
Experience designing, deploying, supporting, and operating Azure, AWS, or private cloud environments, including IaaS, PaaS, container platforms, managed services, and production support models.
•
Experience with Terraform, Backstage, Harness, CI/CD pipelines, infrastructure-as-code, environment management, and deployment automation.
•
Experience with Virtual Networks, Kubernetes, VMs, Secrets Store, messaging, Object Storage and File Stores, databases, AI/ML studios, LLM Services, and Databricks.
•
Bachelor’s degree in Computer Science, Math, Engineering, Information Technology, or a related technical field.
•
Demonstrable experience deploying and supporting enterprise workloads in Azure, AWS, or private cloud with appropriate controls for security, resiliency, and operational monitoring.
•
Proficiency with PowerShell, Python, shell scripting, or other automation languages used to manage cloud infrastructure and platform operations.
•
Business Continuity, Disaster Recovery, resiliency testing, incident management, or production support experience.
•
Understanding of AI/ML lifecycle concepts, LLM services, model hosting patterns, responsible AI controls, MLOps, observability, and production readiness practices is preferred.
•
Experience operating in a regulated financial services, risk-managed, or highly controlled technology environment is preferred.
Salary Range:
$90,000 - $157,500 Annual
The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the location above, the applicable range could differ.
Benefits
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.
Legal
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.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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