Senior AI Engineer

Overview

Senior AI Engineer

Reports to Global Head of Information Technology, Oncology

Opportunity

Menarini Stemline is seeking a highly motivated and experienced Senior AI/ML Engineer, who will be the technical powerhouse translating our Enterprise Business Architect’s strategic roadmap into production-ready intelligence. You won’t just be building chatbots; you will be engineering Agentic Workflows and leveraging 3rd party models that accelerate drug development, optimize clinical protocols, and automate complex regulatory filings.

You will sit at the intersection of Data Science, Software Engineering, and Biotech value chain
, turning massive datasets into actionable therapeutic insights.

The successful candidate will be a key contributor in shaping our AI/ML strategy, evaluating and implementing solutions, and demonstrating the value of data-driven decision‑making. This role requires a blend of deep technical expertise, strategic thinking, and the ability to collaborate effectively with cross‑functional teams.I-MB1

• Strategic Development: Collaborate with the Menarini Stemline IT leadership team to define and execute the company's AI/ML roadmap. Identify and prioritize high‑impact use cases across various business functions, including clinical development, commercialization and enabling functions.
• End-to-End AI Development: Design, develop, and deploy machine learning models (LLMs, Diffusion Models, GNNs) specifically tailored for biotech use cases.
• Agentic Workflow Engineering: Build "AI Agents" capable of navigating complex R&D tasks—such as searching historic clinical study data libraries or cross‑referencing clinical trial data—to support scientific decision‑making.
• MLOps & Pipeline Scalability: Build and maintain robust MLOps pipelines to ensure models are reproducible, versioned, and scalable across our high‑performance computing (HPC) environment.
• Architectural
  
  Collaboration:
  
  Partner with the Principal Business Architect to ensure AI solutions align with the enterprise "Target State" and integrate seamlessly with existing CTMS and ERP systems. Cross‑Functional
  
  Collaboration:
  
  Partner with stakeholders from R&D, Clinical Operations, Regulatory Affairs, and other departments to understand their needs and translate them into AI/data science questions and solutions. Serve as a subject matter expert on AI/ML, providing guidance and training to colleagues.
• Data Engineering for Science: Work with bioinformaticians to curate "AI‑ready" datasets from unstructured lab notes, "Omics" data, and Real‑World Evidence (RWE). Work closely with IT and data engineering teams to ensure the availability and quality of data required for AI/ML initiatives. Contribute to the development of our data infrastructure and best practices for data governance and management.
• Solution Evaluation and Implementation: Lead the technical evaluation of both internal and external AI/ML solutions. Design, build, and deploy scalable and robust machine learning models on our GCP/Databricks platform. Assess and integrate vendor‑provided AI/ML technologies, ensuring they meet our scientific and business requirements.
• Compliance & Validation: Ensure all AI deployments meet stringent GxP requirements and maintain high standards for model explainability and "Human‑in‑the‑loop" safety.
• Innovation and Research:
  Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science. Champion a culture of innovation by exploring novel approaches and technologies that can be applied to our business challenges.

Education:

Master's or Ph.D. in a quantitative field such as Computer Science, Data Science, or a related discipline.

Experience:

10 years with 3‑5 years of hands‑on experience in data science and machine learning, with a proven track record of developing and deploying AI/ML models in a corporate environment.

Technical

Skills:

• Expert proficiency in programming languages such as Python or R.
• Extensive experience with machine learning libraries and frameworks (e.g., Tensor Flow, PyTorch).
• Strong knowledge of SQL and experience working with relational and non‑relational databases.
• Generative AI…