Lead Artificial Intelligence

Lead Artificial Intelligence (AI) Engineer

Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact.

Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.
At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes.

Join EQT and be at the forefront of AI innovation

We are on the hunt for a Lead Artificial Intelligence (AI) Engineer to build the next generation Motherbrain AI platform to enhance business processes at EQT. The Motherbrain AI platform is designed to integrate Large Language Models (LLMs) into business workflows and products, automating tasks such as summarization, data extraction, and analysis of internal & external data. The Motherbrain AI platform features enables the development of AI workflows with a focus on scalability, usability, traceability and support for domain-specific applications.

About Motherbrain

Motherbrain, an integral team within EQT, integrates data science, machine learning, and AI into our investment strategy, offering a unique platform and opportunity to tackle complex, real-world challenges. Our team, sourced from leading tech companies, leverages the latest technology and collaborates closely with EQT's internal business professionals. This collaboration ensures that our innovative solutions significantly impact diverse sectors such as healthcare, technology, and infrastructure. Here, you'll discover an environment that fosters learning and growth, where your contributions influence tangible business outcomes and play a key role in EQT's global strategy.

About the Role:

As Lead AI Engineer, you will have the unique chance to shape the future of the Motherbrain AI Platform. You will design and build AI-powered workflows to enhance developers' productivity, thereby delivering and supporting strategic goals and have a lasting impact at EQT.

You will be part of an inclusive, multi-cultural team that believes in the power of collaboration and will harness your unique personal and professional skills to build high-performing software and solutions.

You will be working together with Data Scientists, Fullstack Engineers, Backend Engineers, Data Engineers, UI and UX Designers, and Business Stakeholders to take the Motherbrain AI platform to the next level and leverage AI as a core part of EQT's strategy.

Key Responsibilities:

This role requires an understanding on how to bridge the latest generative AI technologies and tools with the more established platform engineering practices covering the operational necessities of the entire lifecycle of an application. The key responsibilities of this role include:

• Lead the design, development, and maintenance of our AI platform, ensuring its high performance, reliability, and scalability.
• Collaborate with cross-functional teams to define, design, and ship new features of the platform.
• Leverage LLM APIs, Retrieval Augmented Generation (RAG), LLMOps, Agent Frameworks and related concepts to build cutting edge AI systems.
• Manage applications in GCP.
• Work with Docker, Kubernetes, CI/CD, and observability tools to ensure seamless deployment, traceability and scalability.
• Stay updated on the latest industry trends and technologies to keep our platform at the forefront of technological advancements.
• Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and industry standards.

Qualifications:Education

Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field. PhD is not required for this role.

Experience

Minimum of 5 years of experience in AI, machine learning, and software engineering, with a proven track record of deploying AI solutions in a production environment.

Technical Skills

• Technical Leadership: driving technological decision making and building relationships with stakeholders and other tech teams.
• Strong proficiency in writing production-grade Python software.
• Understanding of data structures, algorithms and design patterns for software and AI engineering.
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes).
• Familiarity with version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum).
• Understanding of FastAPI, REST, GraphQL, React and other tools used for backend and frontend integration.
• Solid understanding of security and privacy best practices when working with sensitive or proprietary data in AI systems.
• Experience with database technologies and data transformation pipelines (e.g. dbt, BigQuery, ElasticSearch, Redis, PostgreSQL, … ).

Nice to Have

• Experience with Platform Engineering, e.g. as an SRE or a similar role.
• Hands-on experience with LangChain and LangSmith for building and managing AI workflows.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Practical experience with Retrieval-Augmented Generation (RAG).
• Strong background in NLP techniques and tools, particularly for summarization, data extraction, and large-scale textual analysis.

What's in it for me?

EQT is a well-established company that has worked within its field for a long time. Being one of Europe's largest Private Equity firms you will get a stable employer, being proved by EQT's continued growth during the last years of market turbulence. Due to this, EQT offers attractive compensation packages, with an internal career framework giving you the opportunity to grow within the company. It also includes generous pensions, 6 weeks vacation and a great health care allowance. If you have small children, we also offer a domestic allowance program to enable a good work/life balance. There are of course more benefits on top of this, which we would be happy to tell you about when we meet.

About EQT
EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of almost three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business' development, from start-up to maturity. EQT has EUR 246 billion in total assets under management (EUR 133 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets.

With its roots in the Wallenberg family's entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,800 employees.

More info: www.eqtgroup.com
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