State Street
State Street
State Street ir globāls finanšu pakalpojumu uzņēmums, kas apkalpo institucionālos investorus, piedāvājot ieguldījumu pārvaldības un ieguldījumu apkalpošanas risinājumus. Tā pakalpojumi ietver aktīvu pārvaldīšanu, glabāšanas pakalpojumus un ieguldījumu izpēti, ko nodrošina ekspertīze finanšu, finanšu tehnoloģiju un banku darbības jomā. Uzņēmums palīdz klientiem pārvaldīt sarežģītas ieguldījumu darbības, izmantojot datus, atziņas un darbības iespējas, lai uzlabotu efektivitāti un atbalstītu finanšu lēmumu pieņemšanu.

AI Platform and Operations Lead, Assistant Vice President – Boston Onsite

Lead secure AI platform operations across Azure, AWS, and private cloud environments. Deliver compliant, production-ready AI capabilities for State Street’s financial services business.

Apraksts

  • Own the design, implementation, and daily operation of secure enterprise AI platforms across Azure, AWS, and private cloud
  • Administer and operationalize services such as virtual networks, Kubernetes, virtual machines, secrets management, messaging, storage, databases, AI/ML studios, LLM services, and Databricks
  • Develop and maintain automation scripts, infrastructure-as-code practices, deployment pipelines, and standardized platform runbooks
  • Apply native Azure, AWS, and private-cloud services to satisfy enterprise technology, security, resilience, observability, and compliance needs
  • Lead identity and access management, configuration management, monitoring, alerting, logging, incident response, and operational readiness practices
  • Work with application, data, risk, cybersecurity, architecture, and business teams to turn platform requirements into dependable AI operations capabilities and reusable enterprise patterns
  • Support production readiness assessments, resilience testing, disaster recovery planning, vulnerability remediation, and control evidence for regulated AI environments
  • Advance platform standards, governance, documentation, service onboarding, and continuous improvement across AI platform operations

Prasības

  • At least four years of full-time IT experience in cloud engineering, cloud support, platform engineering, site reliability engineering, DevOps, MLOps, AI platform engineering, or cloud administration
  • Background designing, deploying, supporting, and operating Azure, AWS, or private-cloud environments, including IaaS, PaaS, container platforms, managed services, and production support
  • Experience with Terraform, Backstage, Harness, CI/CD pipelines, infrastructure as code, environment management, and deployment automation
  • Hands-on knowledge of virtual networks, Kubernetes, virtual machines, secrets stores, messaging, object and file storage, databases, AI/ML studios, LLM services, and Databricks
  • Bachelor’s degree in computer science, mathematics, engineering, information technology, or a related technical discipline
  • Track record deploying and supporting enterprise workloads in Azure, AWS, or private cloud with appropriate security, resilience, and monitoring controls
  • Proficiency in PowerShell, Python, shell scripting, or comparable automation languages for cloud infrastructure and platform operations
  • Experience with business continuity, disaster recovery, resilience testing, incident management, or production support
  • Knowledge of AI/ML lifecycle concepts, LLM services, model hosting, responsible AI controls, MLOps, observability, and production readiness is preferred
  • Experience in regulated financial services, risk-managed environments, or other highly controlled technology settings is preferred
  • Strong critical-thinking, problem-solving, and decision-making abilities
  • Demonstrated ownership, operational rigor, and the ability to manage issues through resolution
  • Experience collaborating with large, global, and diverse teams across locations and functions
  • Solid understanding of AWS, Azure, or private-cloud services, including enterprise security, networking, and resilience requirements
  • Clear communication skills with both technical and non-technical stakeholders, including the ability to turn operational needs into defined actions, standards, and deliverables

Priekšrocības

  • 401(k) retirement savings plan with company matching
  • Basic life insurance
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Long-term disability coverage
  • Optional supplemental insurance coverage
  • Paid vacation
  • Paid sick leave
  • Short-term disability coverage
  • Family care leave
  • Employee Assistance Program
  • Incentive compensation, including eligibility for annual performance-based awards
  • Tax-advantaged savings plans
  • Inclusive professional development opportunities
  • Flexible work-life support
  • Paid volunteer days
  • Employee networks

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