Senior AI Architect

15 hours ago


Stockholm, Stockholm, Sweden EQT Group Full time
Company Overview

EQT Group is a global investment organization that has been developing companies across multiple geographies, sectors, and strategies for almost three decades. With a track record of successful active ownership, EQT aims to future-proof companies, generate attractive returns, and make a positive impact.

The company has EUR 246 billion in total assets under management, with two business segments – Private Capital and Real Assets. EQT's roots lie in the Wallenberg family's entrepreneurial mindset and philosophy of long-term ownership, guiding the organization's values and corporate culture.

Job Description

We are seeking a highly skilled Senior AI Architect to lead our AI team in Motherbrain. As a key member of the Platform team, you will engage with modern technologies and collaborate with highly skilled colleagues to design, implement, and deploy AI-powered solutions efficiently.

Your mission will be to empower professionals with actionable insights while providing engineers with the tools and infrastructure to create and deploy AI-powered solutions robustly and scalably in real-world production scenarios.

Key Responsibilities
  • Bridging between Machine Learning/AI research and operations to ensure AI-powered solutions are accurate during development and robust and scalable in production scenarios.
  • Designing, implementing, deploying, and managing AI-powered solutions that deliver on organizational goals and industry standards.
  • Working together with Data Scientists, Fullstack Engineers, Backend Engineers, Data Engineers, UI and UX Designers, and Business Stakeholders to take the Motherbrain platform to the next level.
About You

You are a technical leader who believes in the power of teamwork. Your technical expertise and ability to solve complex challenges make you a driving force in engineering excellence.

  • Technical leadership and teamwork in product-oriented organizations: Experience in teams working with disruptive technologies with high levels of interaction and collaboration.
  • Ai/ML systems architecture: Envisioning, operationalizing, building, and deploying end-to-end ML and AI pipelines at scale.
  • Efficient text data processing: Designing and optimizing systems for processing large volumes of textual data efficiently.
  • ML workflows and pipelines orchestration: Building and maintaining MLOps pipelines, including CI/CD for machine learning workflows.

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