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About the Role

We are seeking an AI Platform and Ops Lead, Assistant Vice President to lead the design, implementation, and operations of enterprise AI platforms. This role requires expertise in Generative AI, Machine Learning, cloud platforms (Azure, AWS, private cloud), and platform operations to enable reliable and responsible AI solutions.

Responsibilities

• 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

• 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.
• 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.
• 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.

Skills

• Generative AI
• Machine Learning
• Enterprise Architecture
• Cloud Platforms
• Platform Operations
• Scalable Solution Delivery
• Azure
• AWS
• Private Cloud
• Cloud Infrastructure
• AI/ML Platform Services
• Automation
• Production Monitoring
• Identity and Access Management
• Operational Resiliency
• Governance Controls
• Terraform
• Backstage
• Harness
• CI/CD pipelines
• Infrastructure-as-code
• Environment Management
• Deployment Automation
• Virtual Networks
• Kubernetes
• Virtual Machines
• Secrets Management
• Messaging
• Object Storage
• File Stores
• Databases
• AI/ML Studios
• LLM Services
• Databricks
• PowerShell
• Python
• Shell Scripting
• Business Continuity
• Disaster Recovery
• Resiliency Testing
• Incident Management
• Production Support
• AI/ML Lifecycle Concepts
• Model Hosting Patterns
• Responsible AI Controls
• MLOps
• Observability
• Production Readiness Practices

Location

• Primary location specified

Work Type

• Full-time IT professional

Experience Level

• Assistant Vice President
• 4+ years of experience

Education Level

• Bachelor's degree in Computer Science, Math, Engineering, Information Technology, or a related technical field.

Salary/Compensations

• $90,000 - $157,500 Annual

Benefits

• 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
• Eligibility for certain tax advantaged savings plans

About the Company

• 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.

Equal Opportunity

• 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.