Enterprise AI Lead

Architecture

Enterprise AI Lead

Architecture
Centrum, Copenhagen

emagine Polska

Full-time
Any
Senior
Office

Job description

On behalf of a client within the financial sector, we are looking for an experienced Enterprise AI Lead to help establish and scale enterprise-wide AI capabilities.

The client is investing heavily in AI and is looking for a senior consultant who can bridge technology, architecture, governance, and business adoption. The objective is to enable the organization to implement AI in a repeatable, secure, and scalable way across teams, products, and operations.

Main Responsibilities:

  • Scale AI tools for improved productivity among teams and individuals

  • Accelerate the adoption of reusable skills, workflows, and enterprise AI tooling

  • Develop governance patterns and orchestration capabilities

  • Facilitate connectivity and integration of AI systems, creating reusable AI assets

  • Measure success by the bank’s capacity to operationalize AI capabilities efficiently

  • Focus on establishing enterprise-wide capabilities spanning various domains such as engineering, architecture, and governance

Key Requirements:

  • 10+ years of relevant experience in enterprise technology leadership, enterprise platforms, cloud engineering, architecture, AI/ML engineering, or large-scale technology transformation

  • Strong platform thinking combined with the ability to translate emerging technologies into scalable enterprise operating models

  • Experience driving complex initiatives across business, engineering, architecture, governance, and cloud platform teams

  • Experience with enterprise AI platforms, GenAI ecosystems, orchestration, reusable workflows, governance, and AI operationalization

  • Comfortable building new capabilities, operating across organizational boundaries, and creating momentum in rapidly evolving technology environments

Other Details:

Location: onsite in Copenhagen, DK
Contract period: From 03.08.2026 to 31.03.2027

Tech stack

    English

    B1

    Machine Learning (ML)

    advanced

    Cloud

    advanced

    transformation

    advanced

    Governance

    advanced

    Artificial Intelligence (AI)

    advanced

    Generative Artificial Intelligence (GenAI)

    advanced

    API (Application Programming Interface)

    advanced

    Operations

    advanced

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