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Senior ai engineer

München
Festanstellung
Ingenieur
Inserat online seit: Veröffentlicht vor 9 Std.
Beschreibung

Senior AI Software Engineer

A global leader in strategy and innovation is seeking a Senior AI Software Engineer / Platform Architect to join their advanced data and AI engineering division. You’ll be part of a world-class team delivering cutting-edge AI solutions that tackle complex, high-impact business challenges across multiple sectors.

With a team of nearly 3,000 technologists, scientists, programmers, engineers, and designers across 80+ cities worldwide, they build and design ground-breaking platforms and software solutions to drive innovation and digital transformation for global organisations.

This is a unique opportunity to shape and deploy state-of-the-art AI platforms within large-scale digital transformation programmes. You’ll work end-to-end across the analytics lifecycle—from designing scalable data and AI infrastructure to collaborating directly with stakeholders on product evolution.

Location: Munich OR Dusseldorf OR Berlin OR Cologne OR Frankfurt (Hybrid – 3 days/week in office or client site)

Start Date: ASAP

Citizenship Requirement: EU Citizens only (Frequent EU travel)

Salary: Highly Competitive

Key Responsibilities:

* Design and build enterprise-grade AI and data platforms tailored to a broad range of use cases.
* Lead platform architecture work spanning cloud, data, DevOps, MLOps and LLMOps domains.
* Contribute to full software development lifecycle with a strong focus on performance and maintainability.
* Collaborate cross-functionally with consulting and engineering teams to guide best practices.
* Drive innovation using tools such as Terraform, MLflow, AzureML, LangSmith, and more.

Technical Requirements:

* Advanced proficiency in Python and modern software engineering practices.
* Experience architecting solutions using major cloud platforms (Azure, AWS, GCP).
* Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and infrastructure-as-code.
* Strong background across at least several of the following areas: Cloud Engineering, Data Platform Architecture, DevOps, MLOps/LLMOps.

Ideal Profile:

* Proven track record designing AI-ready infrastructure and platform components.
* Enjoys solving complex problems collaboratively and influencing technical strategy.
* Effective in fast-paced environments with direct client exposure.
* Naturally curious and motivated by impactful, real-world applications of AI.

If you think you are a good fit for the position, please click apply!

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