Director IT-AI & Data Science

Director IT-AI & Data Science

Requirements

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 12+ years of experience in software development, AI engineering, and machine learning.
• 10+ years of leadership experience, managing AI teams and projects.
• Proven experience in ML, NLP, GenAI, and Deep Learning, with expertise in LLMs, multimodal AI, and agentic automation.
• Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain, Hugging Face) and cloud platforms (AWS, Azure, GCP).
• Has hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
• Has a deep understanding of the foundations of AI methodologies.
• Experience building LLMs or large computer vision models as well as expertise in one or more key subdomain such as: training optimization, self-supervised learning, robustness, explainability.
• Strong background in AI-driven application development, including RAG-based solutions, text-to-image models, and GenAI-powered assistants.
• Experience in medical AI applications, regulatory compliance, and AI governance is a strong plus.
• Familiarity with graph-based AI, embeddings, metadata retrieval, and Microsoft Graph API integration.
• An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.
• Experience in delivered libraries, platform level code or solution level code to existing products.
• Highly skilled and experienced at negotiating conflict and problem-solving to achieve win-win outcomes at executive levels.
• Exceptional ability to lead change using positive and collaborative methods.
• Deep market trends understanding of the advancement and applicability of technology.
• Outstanding communication, presentation and leadership skills.

Responsibilities

• Direct leadership over growing delivery teams consisting of data scientists, app developers, and engineers.
• Partners with product, tech, and business leaders to advance and deliver on our strategic vision to harness emerging AI advances, such as generative AI and continuous self-learning, while addressing fundamental invention challenges in AI for data (discovery, redaction, cleansing) and data for AI (fusing across sources, types, quality).
• Leads a cross-functional team of data scientists, software engineers, machine learning engineers to deliver AI powered products that deliver value.
• Leverages a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
• Builds AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
• Engages in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
• Drive AI Strategy & Innovation including exploration and adoption of emerging AI and Generative AI (GenAI) technologies: Large Language Models (LLMs), Vision-Language Models (VLMs) and multimodal AI, Agentic solutions for automation, Text-to-image models, Domain-specific and embedding-based AI models.
• Design experimental AI solutions to enhance medical device capabilities and regulatory compliance.
• Collaborate with cross-functional teams to integrate AI into clinical decision support, regulatory compliance, and product innovation.

Preferred Qualifications

• Experience in medical AI applications, regulatory compliance, and AI governance is a strong plus.