Join us as we transform immunology and deliver medicines that help autoimmune patients get their lives back. argenx is preparing for multi-dimensional expansion to reach more patients through a rich pipeline of differentiated assets, led by VYVGART, our first-in-class neonatal Fc receptor blocker approved for the treatment of gMG, and with the potential to treat patients across dozens of severe autoimmune diseases.
We are building a new kind of biotech company, one that maintains its roots as a science-based start-up and pushes our commitment to innovate across all corners of our business. We strive to inspire and grow our company, our partnerships, our science, and our people, because when we do, we deliver more for patients.
Join argenx
At argenx, we build our culture from the collective power of the team and the knowledge that together, we are better. If you are entrepreneurial, curious and committed to make a difference for patients and thrive on creating solutions for rare autoimmune diseases, then argenx is for you.
Next to a competitive salary with extensive benefits, we offer you the chance to grow and be a part of a team driven by purpose, creativity, innovation and science.
argenx
argenx is a fast-growing global immunology company committed to improving the lives of people suffering from severe autoimmune diseases. Thanks to colleagues based in Europe, the United States and Japan, we translate immunology breakthroughs into a world-class portfolio of novel antibody-based medicines.
For the expansion of our international Data & AI team, argenx is looking for a Platform Lead - AI Platform.
Purpose of the Function
This role will define and lead the strategic direction for our enterprise Artificial Intelligence (AI) platform and Machine Learning Operations (MLOps) frameworks, including LLMOps, establishing the core foundation for AI-driven innovation at argenx. It is accountable for providing a robust, scalable, and efficient environment that enables the end-to-end lifecycle of AI models, from experimentation to production. This position will drive a multi-year platform roadmap that accelerates the delivery of high-impact AI solutions, ensuring our AI initiatives are operationalized effectively, responsibly, and at scale to drive tangible business outcomes. The role is also responsible to introduce enterprise wide AI tools from Open AI, Anthropic, Microsoft and other partners.
Roles & Responsibilities
Provide overall leadership for the enterprise AI platform and MLOps frameworks (including LLMOps), managing all associated resources including personnel, vendors, and budget to ensure the robust operationalization of AI models.
Lead the strategic direction and roadmap for the AI platform, ensuring it provides an efficient and scalable environment for the end-to-end model lifecycle.
Drive the adoption of standardized MLOps practices and frameworks to accelerate model development, improve reliability, ensure reproducibility, and enable governance.
Partner with data science teams and business units to ensure the AI platform meets their evolving needs, removes friction, and directly enables the creation of tangible business value.
Own the full lifecycle management for the AI platform portfolio, including Agentic AI, making strategic investment decisions about new technologies, tools, upgrades, and retirements.
Own the full lifecycle management for the Enterprise AI tools, making strategic investment decisions about new technologies, tools, upgrades, and retirements.
Ensure the AI platform adheres to the highest standards of security, compliance, and ethical AI principles, in close partnership with governance and security teams.
Champion a culture of engineering excellence and innovation within the platform team, fostering an environment that challenges the status quo in pursuit of breakthrough AI capabilities.
Skills and Competencies
Knowledge of modern AI/ML platform architectures, MLOps frameworks, and the ecosystem of tools for model development, training, deployment, and monitoring.
Knowledge and understanding of Agentic AI frameworks and managing lie cycle of AI Agents
Skilled in shaping enterprise technology strategy and developing multi-year roadmaps specifically for AI and Machine Learning platform portfolios.
Knowledge of financial management and procurement, with experience managing large budgets, complex vendor contracts, and technology lifecycle planning.
Skilled in leading senior technical and MLOps engineering teams, and influencing data science leaders to drive alignment on technical direction and best practices.
Ability to work collaboratively and effectively together within cross-functional teams and networks.
Demonstrated communication skills, within a multi-cultural and multi-lingual global environment.
Is agile and demonstrates adaptability, comfort with ambiguity, trust-building, and resilience.
Derives energy from operating in a dynamic, complex, fast-moving, and frequently changing business environment.
Demonstrable experience with project management, proactive planning, priority setting, and securing alignment.
Drives toward outcomes.
Ambitious, inquisitive naturally, a quick study, with demonstrated eagerness to continuously learn, self-improve and develop. This includes being comfortable giving and receiving feedback in a diverse environment.
Passionate and prepared to lead and contribute to our culture, which is driven by our corporate values of co-creation, innovation, empowerment, excellence, and humility.
Education, Experience & Qualifications
Bachelor’s or Master Degree preferred in Computer Science, Engineering, Artificial Intelligence, Data Science or related fields relevant to the designated function.
Experience in a senior leadership role accountable for enterprise-scale AI platforms, MLOps, or data science infrastructure in a global, regulated industry. "12+ Years".
Experience shaping long-term AI technology strategy, managing significant budgets, and leading teams of senior engineers or MLOps specialists. "8+ Years".
Experience deploying Gen AI technology, introducing LLMs and enterprise AI tools. "3+ Years".
Other
25% travel required
This job is eligible to participate in our short-term and long-term incentives program.
The hiring range displayed above is the range of possible base pay compensation that argenx believes in good faith it will pay for this role at the time of this posting. The hiring range is based on the job grade for this position. Individual compensation paid within this range depends on a variety of factors, including, but not limited to, internal equity, prior education and experience, job-related knowledge and demonstrated skills. argenx may pay more or less than the posted range and this range may be modified in the future.
At argenx, all applicants are welcomed in an inclusive environment. They will receive equal consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other applicable legally protected characteristics. argenx is proud to be an equal opportunity employer.
Before you submit your application, CV or any other personal details to us, please review our argenx Privacy Notice for Job Applicants to learn more about how argenx B.V. and its affiliates (“argenx”) will handle and protect your personal data. If you have any questions or you wish to exercise your privacy rights, please contact our Global Privacy Office by email at [email protected].
Skills Required
- 12+ years experience in senior leadership roles accountable for enterprise-scale AI platforms, MLOps, or data science infrastructure in a regulated industry
- 8+ years shaping long-term AI technology strategy, managing significant budgets, and leading senior engineering or MLOps teams
- 3+ years deploying generative AI, introducing LLMs and enterprise AI tools (OpenAI, Anthropic, Microsoft)
- Deep knowledge of modern AI/ML platform architectures, MLOps frameworks, and model development, training, deployment, and monitoring tooling
- Experience with LLMOps and Agentic AI frameworks and lifecycle management for AI Agents
- Experience in financial management and procurement for technology, including vendor contracts and lifecycle planning
- Proven ability to lead and influence senior technical and data science stakeholders across global, multi-cultural teams
- Demonstrated communication skills in a multi-cultural and multi-lingual global environment
- Willingness and ability to travel up to 25% of the time
- Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science or related field
What We Do
argenx is a global immunology company committed to improving the lives of people living with severe autoimmune diseases. Partnering with leading academic researchers through its Immunology Innovation Program (IIP), argenx is translating immunology breakthroughs into a world-class portfolio of novel antibody-based medicines.
