DT AI Platform Lead
Joinargenx
Atargenx, we build our culture from the collective power of the team and the knowledge that together, we are better. If you are entrepreneurial,curiousand committed to make a difference for patients and thrive on creating solutions for rare autoimmune diseases, thenargenxis 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,innovationand science.
argenx
argenxis 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,argenxis looking for aPlatform 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, includingLLMOps,establishingthe core foundation for AI-driven innovation atargenx. 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 introduceenterprise wideAI tools from Open AI, Anthropic, Microsoft and other partners.
Roles & Responsibilities
Provide overall leadership for the enterprise AI platform andMLOpsframeworks(includingLLMOps), 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 standardizedMLOpspractices 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 aboutnew technologies, tools, upgrades, and retirements.
Own the full lifecycle management for theEnterpriseAItools, making strategic investment decisions aboutnew 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,MLOpsframeworks, 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 offinancial managementand procurement, with experience managing large budgets, complex vendor contracts, and technology lifecycle planning.
Skilled in leading senior technical andMLOpsengineeringteams, andinfluencing 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 anddemonstratesadaptability, comfort with ambiguity, trust-building, and resilience.
Derives energy fromoperatingin a dynamic, complex, fast-moving, andfrequentlychanging business environment.
Demonstrable experience with project management, proactive planning, priority setting, and securing alignment.
Drives toward outcomes.
Ambitious, inquisitive naturally, a quick study, withdemonstratedeagerness 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 MasterDegree preferred in 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 orMLOpsspecialists. "8+ Years".
Experiencedeploying GenAI technology,introducing LLMs and enterprise AI tools. "3+ Years".
Other
25% travelrequired
The annual base salary hiring range for this position is €152,000.00 - €209,000.00 EUR
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.