# Manager, AI Deployment Engineering

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** Unspecified
**Role:** Engineering Management
**Experience:** 5+ years
**Skills:** Artificial Intelligence, Machine Learning, Generative AI, Cloud Infrastructure, Data Platforms, Architecture, Model Selection, Evaluations, Reliability, Observability, Security, Data Governance, Production Systems, Technical Enablement
**Posted:** 2026-09-09

> Leads a customer-facing Applied AI Engineering team responsible for designing, deploying, and scaling production AI systems for enterprise customers. Requires technical depth in AI and production systems, strong executive presence, and experience managing and developing technical teams.

## Job Description

## Responsibilities
- Build, manage, and develop a high-performing team of Applied AI Engineers supporting complex enterprise customers.
- Own solution design, implementation, production readiness, adoption, and expansion across the team’s customer portfolio.
- Coach engineers on architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost.
- Establish account prioritization, coverage, escalation, and delivery operating models.
- Serve as a senior technical escalation point for launches, production incidents, integrations, and high-stakes customer decisions.
- Partner with customer executives and technical leaders to connect implementations to measurable outcomes.
- Collaborate with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal.
- Translate customer needs into feedback for internal product and engineering teams.
- Develop reusable architectures, evaluation methods, playbooks, tooling, and technical enablement.
- Measure implementation quality, adoption, customer outcomes, delivery quality, team capacity, and reusable-work impact.
- Hire, coach, and develop team members while fostering accountability, collaboration, inclusion, and continuous learning.

## Requirements
- Significant experience managing customer-facing technical teams, such as Applied AI Engineers, Solutions Architects, Forward-Deployed Engineers, Customer Engineers, or Technical Account Managers.
- Experience building or leading teams implementing complex software, data, machine learning, or AI systems in enterprise environments.
- Technical depth sufficient to evaluate architectures, challenge assumptions, and coach engineers through difficult implementation decisions.
- Experience taking AI, machine learning, or other technically complex systems from prototype to production.
- Understanding of reliability, observability, security, privacy, data governance, evaluation, and operational readiness.
- Experience leading teams through ambiguity, competing priorities, escalations, and evolving products or markets.
- Ability to translate among technical details, customer needs, product strategy, and business outcomes.
- Experience with large organizations, multiple business units, senior stakeholders, procurement processes, or governance requirements.
- Strong executive presence and customer-facing judgment.
- Experience designing operating models, coverage strategies, prioritization frameworks, or repeatable delivery processes.
- Strong cross-functional collaboration and resource allocation skills.
- Track record of coaching team members, raising performance, and building inclusive teams.

## Nice-to-haves
- Experience leading applied AI engineering, solutions architecture, forward-deployed engineering, professional services, technical consulting, or customer engineering teams.
- Experience implementing generative AI, machine learning, developer platforms, cloud infrastructure, or data platforms.
- Experience supporting global customers, regulated workflows, multi-business-unit implementations, or organizational transformations.
- Experience building technical enablement, reusable solution patterns, evaluation frameworks, or customer implementation methodologies.
- Experience with semiconductor, media, entertainment, or similarly complex technology-intensive industries.

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