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State Street
State Street
H1B Visa SponsorBankingFinanceFintech
State Street is a global financial services company serving institutional investors through investment management and investment servicing solutions. Its offerings include asset management, custodial services, and investment research, supported by expertise across finance, fintech, and banking. The company focuses on helping clients manage complex investment activities with data, insights, and operational capabilities designed to improve efficiency and support financial decision-making.
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AI Platform and Operations Lead, Assistant Vice President – Boston Onsite

Lead secure AI platform operations across Azure, AWS, and private cloud environments. Build resilient, compliant infrastructure and operating practices for State Street’s financial services technology.

USUnited StatesMAMassachusettsNJNew JerseyTXTexas
$90,000 – $157,500 / year
On-siteFull-timeSeniorEnglish RequiredAI EngineerMachine Learning Engineer
AWSAzureCloudKubernetesPythonShell ScriptingTerraform

Description

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

Requirements

  • 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.
  • Experience designing, deploying, supporting, and operating Azure, AWS, or private cloud environments across IaaS, PaaS, containers, managed services, and production support.
  • Hands-on experience with Terraform, Backstage, Harness, CI/CD, infrastructure as code, environment management, and deployment automation.
  • Experience with 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.
  • Proven ability to deploy and support enterprise workloads in Azure, AWS, or private cloud with suitable security, resilience, and monitoring controls.
  • Proficiency in PowerShell, Python, shell scripting, or comparable languages for automating cloud infrastructure and platform operations.
  • Background in business continuity, disaster recovery, resilience testing, incident management, or production support.
  • Preferred understanding of AI/ML lifecycles, LLM services, model hosting, responsible AI controls, MLOps, observability, and production readiness.
  • Preferred experience in regulated financial services, risk-managed organizations, or tightly controlled technology environments.
  • Strong critical-thinking, problem-solving, and decision-making abilities.
  • A strong sense of ownership, operational rigor, and the ability to manage issues through resolution.
  • Experience collaborating with large, global, and diverse teams across locations and business functions.
  • Solid knowledge of AWS, Azure, or private cloud services, including enterprise security, networking, and resilience practices.
  • Ability to communicate clearly with both technical and non-technical stakeholders.
  • Interest in responsible AI, platform governance, automation, observability, and advancing operational maturity.

Benefits

  • 401(k) retirement savings plan with company matching.
  • Insurance options including basic life, medical, dental, vision, long-term disability, and additional voluntary coverage.
  • Paid time off covering vacation, sick leave, short-term disability, and family-care needs.
  • Employee Assistance Program.
  • Eligibility for annual performance-based incentive awards.
  • Access to certain tax-advantaged savings programs.
  • Opportunities for inclusive professional development.
  • Flexible support for work-life needs.
  • Paid volunteer days.
  • Employee resource networks.

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