AI Platform and Ops Lead – Assistant Vice President

State Street

AI Platform and Ops Lead managing secure AI platform environments in Azure and AWS. Collaborating with cross-functional teams for enterprise-level AI solutions and operations.

Posted 7/24/2026full-timeAustin • Massachusetts, New Jersey, Texas • 🇺🇸 United StatesSenior💰 $90,000 - $157,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, implementing, and managing secure enterprise AI platform environments across Azure, AWS, and private cloud. Proficient in automation, infrastructure-as-code, and operational strategies to ensure compliance, security, and resiliency in AI operations.

Highest-signal resume keywords

Cloud EngineeringInfrastructure-As-CodeAI/ML OperationsTerraformKubernetes

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Cloud EngineeringPlatform EngineeringDevOpsMLOpsTerraformPowerShellPythonShell ScriptingCI/CD PipelinesDisaster Recovery

Tools & Technologies

AzureAWSKubernetesDatabricksVirtual NetworksSecrets ManagementObject StorageFile StoresAI/ML StudiosLLM Services

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in MathBachelor's Degree in EngineeringBachelor's Degree in Information Technology

Industry Keywords

Enterprise AI SolutionsRegulated Financial ServicesRisk ManagementOperational MonitoringBusiness Continuity

Tech Stack

Tools & technologies

AWSAzureCloudKubernetesPythonShell ScriptingTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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