# AI Platform and Ops Lead – Assistant Vice President at…

> Source: https://confidential.careers/job-detail/ai-platform-and-ops-lead-assistant-vice-president-jobtailor-ma

# AI Platform and Ops Lead – Assistant Vice President

Jobtailor 

** Ma, United States ** Full Time ** Operations Jobs ** United States ** New

[Apply Now](https://confidential.careers/go/14418545) ** Save 

## Job Description

- 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

- 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.

### Core Competencies

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 Engineering

- Infrastructure-As-Code

- AI/ML Operations

- Terraform

- Kubernetes

### ATS Optimization Keywords

### Hard Skills

- Cloud Engineering

- Platform Engineering

- DevOps

- MLOps

- Terraform

- PowerShell

- Python

- Shell Scripting

- CI/CD Pipelines

- Disaster Recovery

### Certifications & Qualifications

- Bachelor's Degree in Computer Science

- Bachelor's Degree in Math

- Bachelor's Degree in Engineering

- Bachelor's Degree in Information Technology

### Industry Keywords

- Enterprise AI Solutions

- Regulated Financial Services

- Risk Management

- Operational Monitoring

- Business Continuity

### Tools & Technologies

- Azure

- AWS

- Kubernetes

- Databricks

- Virtual Networks

- Secrets Management

- Object Storage

- File Stores

- AI/ML Studios

- LLM Services

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Posted August 17, 2026