Head of Platform Engineering, Enterprise AI

turing; United States; Hybrid; USD 210,000 - 320,000; Full time

Benefits offered by this job

Hybrid work

Manhattan office

Job summary

Turing is seeking a senior engineering leader to define the technical direction for an enterprise AI platform and to head the team that builds and operates it. The role blends hands-on engineering, team growth, and productization, with a focus on security, reliability, and deployability across complex customer environments.

You will lead platform engineers, establish ownership across engineering, and partner with leaders to translate customer needs into platform priorities and robust interfaces.

Qualifications

• 15+ years in software engineering with leadership of platform teams.
• Hands-on coding in the past 2 years and production systems experience.
• Experience designing enterprise platforms, including self-hosted or customer-controlled deployments.
• Direct knowledge of LLM orchestration, evaluation, serving, or fine-tuning.

Responsibilities

• Define architecture and operating standards for a model-agnostic, multi-tenant platform.
• Hire, develop, and lead platform engineers across ownership domains.
• Build secure, observable deployments including customer-controlled environments.
• Translate customer needs into platform priorities and interfaces.
• Guide transition from internal platform to external product with measurable outcomes.
• Set expectations for performance, security, and operational readiness.

Skills

Platform leadership

Multi-tenant architecture

Security and compliance

LLM orchestration

Team building

Tools

AWS

Azure

Kubernetes

Job description

Role overview

Set the technical direction for an enterprise AI platform and lead the team that builds and operates it. The role combines hands-on engineering leadership, team growth, and product development, with a focus on making the platform secure, reliable, and deployable across complex customer environments.

Responsibilities

• Define architecture and operating standards for a model-agnostic, multi-tenant platform that can scale to enterprise use.
• Hire, develop, and lead platform engineers, establishing clear ownership across engineering, architecture, evaluation, and delivery.
• Build capabilities for secure, observable deployments, including environments controlled by customers.
• Partner with architecture and delivery leaders to turn customer needs into platform priorities and workable technical interfaces.
• Guide the transition from internal platform capabilities to a reliable product that can be deployed or licensed externally.
• Set expectations for performance, security, evaluation, operational readiness, and measurable customer outcomes.

Requirements

• Typically 15 or more years in software engineering, including at least five years leading platform or infrastructure teams that have shipped multi-tenant enterprise software.
• Recent hands-on engineering experience, including production code written within the past two years.
• Experience designing and operating platforms for enterprise customers, including self-hosted or customer-controlled deployments.
• Direct knowledge of LLM orchestration, evaluation, serving, or fine-tuning, and the ability to contribute to production systems.
• A record of turning internal platform capabilities into externally deployable or licensed products.
• Deep knowledge of enterprise security, identity, and hosting, including work with regulated customers; proven ability to hire and lead strong teams.

Nice to have

• Experience scaling platforms in a services or customer-facing engineering organization.
• Background supporting financial services or other regulated industries, and complex enterprise AI deployments.

Benefits and work setup

Hybrid role with three office days per week in Manhattan, New York City. The source describes a high-ownership environment with an ambitious product roadmap.