Agentic AI Solutions & Business Translator
About The Position
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. We are a fast-growing AI Capability team within argenx. Our mission is to harness cutting-edge AI to transform drug discovery, development, and commercialization. If you’re passionate about bridging business vision with technical execution, and you want to make your mark in a vibrant, fast-moving environment, this is your opportunity. The Role Reporting to the AI Capability Lead, the Agentic AI Solutions & Business Translator is accountable for designing and delivering agentic and multi-agent AI systems across assigned domains (Discovery, Development, Commercial, or a combination). We are seeking a tech-savvy AI Translator with a passion for agentic and multi-agent approaches who can seamlessly connect business needs with engineering solutions. In this role, you will uncover requirements, clarify objectives, and translate them into actionable technical specifications that our engineering teams can implement. You will work closely with business-facing technology roles, domain stakeholders, and engineers to transform ideas into scalable, production-ready solutions.
Requirements
- Technical Expertise: Strong background in: AI engineering, Data Science, Software Development.
- Hands-on experience with (some of): Azure AI & ML stack; Azure Machine Learning, Cognitive Services, OpenAI on Azure AWS AI/ML services: SageMaker, Bedrock, Lambda Snowflake: Data Warehousing, Analytics Databricks: Big Data, ML Workflows Open-source AI frameworks: LangChain, Hugging Face, PyTorch, TensorFlow
- Familiarity with agentic and multi-agent architectures: LangGraph, AutoGen, CrewAI.
- Proficiency in Python and R.
- Experience with API integrations and orchestration tools.
- Understanding of: Data pipelines, MLOps, Cloud-native architectures.
- Business & Interpersonal Skills: Ability to translate ambiguous business needs into clear technical specs.
- Strong communication and storytelling skills to align stakeholders.
- Empathy and adaptability in working with diverse teams.
- A problem-solving mindset with a bias for action and delivery.
- Education: Bachelor’s or Master’s degree in: Computer Science, Engineering, Data Science, or related field
- Experience: 5+ years in: AI and ML engineering, solution architecture or technical product roles.
- Proven track record of translating business requirements into technical solutions.
Nice To Haves
- Advanced degree or specialization in AI/ML is a plus.
- Experience in biotech, pharma, or life sciences is an advantage but not mandatory.
Responsibilities
- Be the bridge between business needs and engineering solution
- Bridge business and technology: Capture strategic objectives and convert them into agentic specifications, technical as well as architecture plans, and delivery roadmaps.
- Explore and help define use cases: for agentic and multi-agent AI systems, help stakeholders understand possibilities & limitations, assess clarity and feasibility of assigned AI initiatives.
- Design multi-agent systems: Architect workflows, build pilots leveraging Azure, AWS, Snowflake, Databricks etc.; harden for production with observability and reliability.
- Integrate Buy solutions: Seamlessly incorporate third-party or vendor-provided AI components into multi-agentic frameworks and process flows, ensuring interoperability, compliance, and performance.
- Partner across the enterprise: Engineering and Innovation (AI Capability team), Architecture, Infrastructure, Security, Quality, Compliance, Operations.
- Stay ahead of emerging AI trends: tools and frameworks, keeping our solutions cutting-edge.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
