Lead AI Platform Owner

About the role

This position pairs deep platform engineering expertise with the thought leadership needed to bring AI into production operations. The person owns the build, hardening, patching, and lifecycle of the operating system and platform estate, and serves as the top escalation point for complex incidents — while simultaneously identifying where AI and automation can replace manual toil, reduce incident volume, and shorten recovery times.

Success depends as much on change leadership as on engineering: shaping standards, winning stakeholder buy-in, and guiding 1st line operations through new AI-enabled ways of working without disrupting service levels.

Responsibilities

• Platform engineering depth — packaging and hardening approved OS builds, management agent stacks, patch currency, and configuration standards across the estate
• AI-driven operations innovation — identifying, piloting, and scaling AI/automation use cases for incident triage, root cause analysis, runbook execution, and predictive monitoring
• Thought leadership and evangelism — articulating an AI-for-operations vision, authoring white papers and R&D positions, staying ahead of emerging tooling
• Change management and adoption — driving organizational uptake of new practices, coaching 1st line teams, managing risk and resistance while protecting SLAs
• Incident, problem, and change discipline — major incident leadership, RCA, and rigorous change control in a regulated production environment
• Solution design and implementation planning — translating requirements into physical builds, costed designs, and multi-workstream delivery plans
• Automation and infrastructure-as-code fluency — scripting, configuration management, and pipeline-driven platform delivery
• Standards, compliance, and documentation — run books, technical policies, and AI governance/guardrails to document-control standards
• Cross-functional influence — partnering with architecture, security, development, vendors, and the business to land change

Requirements

You are a potential fit for the position Lead AI Platform Owner, if your background includes:

• Engineering & infrastructure Platform engineering — OS hardening, golden image packaging, patch management, agent stacks
• Database engineering — performance monitoring, indexing, stored procedures, standby/replication, backup & recovery
• Storage engineering — SAN switch installs, disk consolidation/assignment, replication, storage standards
• Network engineering — routing, rule sets, port/NIC configuration, run book and config standards
• Application engineering — code review, design defect remediation, dev team interface
• Monitoring, capacity planning, performance tuning, backup & recovery
• Automation & scripting
• Delivery & leadership
• Technical lead / SME point of escalation
• Solution design & requirements definition
• Multi-workstream implementation and project planning
• Cost/design estimation and solution sign-off
• Technical documentation, run books, standards & policy authoring
• Vendor and third-party management
• Cross-functional stakeholder collaboration
• Team mentoring; deputizing for team manager
• Continuous service improvement (CSI)
• Risk and issue ownership
• Technical R&D and white paper contribution

Qualifications

Lead AI Platform Owner, if your background includes:

• Possession of a Bachelor's degree in Computer Science, Information Technology, or a related field
• Minimum of 5 years of hands-on experience in platform engineering, database engineering, storage engineering, network engineering, or application engineering
• Experience in implementing and maintaining automated systems and processes
• Strong understanding of ITIL, DevOps, and CI/CD methodologies
• Experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, or Scikit-Learn
• Excellent communication and interpersonal skills, with the ability to influence stakeholders and drive change
• Ability to work independently and in a team environment
• Passion for innovation and a willingness to embrace new technologies and methodologies

Skills

Lead AI Platform Owner, if your background includes:

• Proficiency in scripting languages such as Python, Bash, or PowerShell
• Experience with containerization technologies such as Docker and Kubernetes
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud
• Experience with version control systems such as Git
• Experience with continuous integration and delivery (CI/CD) pipelines
• Experience with performance testing and load testing tools
• Experience with incident management and problem-solving tools

Benefits

Base compensation range for the role in any of those locations is $102,200 USD - $189,800 USD.

Additional benefits include:

• Flexible vacation
• Two company-wide Mental Health Days off
• Access to the Headspace app
• Retirement savings
• Tuition reimbursement
• Employee incentive programs
• Resources for mental, physical, and financial wellbeing

Pay

The base compensation range for the role in any of those locations is $102,200 USD - $189,800 USD.

Schedule

Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.