Senior Director, AI Platform Engineering – Enablement

Jobtailor; Deutschland; Vor Ort; EUR 180.000 - 260.000; Vollzeit

Zusammenfassung

Jobtailor seeks a Senior Director of AI Platform Engineering & Enablement to lead the architectural governance of AI capabilities across our platform ecosystem. You will shape how AI is deployed, governed, and scaled enterprise-wide, partnering with hyperscalers and AI-native providers.

You will drive multi-year strategic programs, balance deep technical credibility with organizational influence, and align AI initiatives with business outcomes in a dynamic, regulated environment.

Qualifikationen

• 12+ years of experience in technology with platform strategy or AI infrastructure leadership.
• Deep knowledge of enterprise AI providers across cloud platforms and AI assistants.
• Experience rationalizing AI portfolios and making enterprise-wide recommendations.
• Hands-on cloud platform architecture experience for evaluating AI capabilities.
• Experience designing enterprise AI governance, FinOps, and enablement frameworks.
• Strong understanding of LLMs, agentic patterns, and multi-model orchestration.

Aufgaben

• Architect and govern how AI capabilities are integrated across the platform portfolio.
• Activate and embed AI capabilities from major providers into platform operations.

Kenntnisse

Enterprise AI Platform Strategy

Cloud Platform Architecture

AI Governance Frameworks

LLM Architecture Understanding

Vendor Relationship Management

AI Infrastructure Leadership

Enterprise Architecture

AI Portfolio Assessment

Multi-Model Orchestration

FinOps Framework Design

Tools

AI Platforms

Cloud Platforms

AI Assistant Technologies

Jobbeschreibung

• This role requires a leader who brings deep technical knowledge of enterprise AI platforms and the strategic judgment to look across every platform EPEO offers — spanning leading AI and cloud platform providers — and define where AI belongs, what it should change, and how the organization gets there.
• The Senior Director, AI Platform Engineering & Enablement brings two equally weighted mandates. On the engineering side, this leader applies deep technical judgment to evaluate, architect, and govern how AI capabilities are integrated across EPEO’s platform portfolio — ensuring what is deployed is the right capability, properly engineered, and fit for the business functions it serves.
• On the enablement side, this leader ensures AI capabilities from our major providers are not just procured but actively activated, governed, and embedded into how our platforms operate.

Requirements

• 12+ years of experience in technology, including significant hands‑on platform strategy, enterprise architecture, or AI infrastructure leadership
• Deep working knowledge of the enterprise AI provider landscape across leading cloud platforms, enterprise AI assistant and productivity platforms, and frontier AI model providers — able to evaluate technical capabilities and architectural fit, not just vendor positioning
• Demonstrated experience assessing and rationalizing AI portfolios at enterprise scale — you have looked across a large organization’s AI landscape, identified what belongs and what doesn’t, and made recommendations that were acted on across business functions
• Hands‑on background in cloud platform architecture sufficient to evaluate AI capabilities at the architectural level — not just vendor positioning
• Experience designing or governing enterprise AI governance, FinOps, and enablement frameworks from the ground up — not inheriting and maintaining, but building and standing up
• Strong understanding of LLM architecture, agentic patterns, RAG, multi‑model orchestration, and AI infrastructure primitives at enterprise scale
• A strategically‑oriented leader who combines technical credibility with the ability to drive organizational change through influence
• Proven ability to operate with a long time horizon in an environment where the technology changes quarterly — holding a multi‑year strategic view while remaining responsive to a rapidly evolving AI landscape
• Experience leading in large, matrixed engineering organizations (5,000+ engineers) where influence without direct authority is the primary mode of getting things done
• Genuine intellectual curiosity about the AI frontier — you follow research, engage vendors at the technical level, form independent views, and are rarely surprised by what ships
• Track record of managing strategic AI vendor relationships with hyperscalers and AI‑native companies at the architecture and roadmap level
• Experience in a Fortune 500 or large‑scale enterprise environment with complex regulatory, compliance, and security requirements
• Demonstrated ability to build the business case for multi‑million dollar AI platform investments and present to C‑suite and board‑level stakeholders

Core Competencies

Demonstrates deep technical knowledge of enterprise AI platforms and cloud architecture, with a proven ability to evaluate and integrate AI capabilities across large organizations. Combines strategic judgment with strong leadership to drive organizational change and manage complex AI vendor relationships.

Highest-signal resume keywords

• Enterprise AI Platform Strategy
• Cloud Platform Architecture
• AI Governance Frameworks
• LLM Architecture Understanding
• Vendor Relationship Management

ATS Optimization Keywords

Hard Skills

• AI Infrastructure Leadership
• Enterprise Architecture
• AI Portfolio Assessment
• Multi‑Model Orchestration
• FinOps Framework Design

Soft Skills

• Strategic Leadership
• Influence Without Authority
• Intellectual Curiosity

Industry Keywords

• Fortune 500 Experience
• Regulatory Compliance
• Security Requirements

Tools & Technologies

• AI Platforms
• Cloud Platforms
• AI Assistant Technologies