Head of AI

About Immunai: Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system. We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process. Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We’re building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We’re seeking a Head of AI to lead research and engineering for multimodal foundation models and reasoning‑centric systems—from prototyping to reliable, secure, production deployment. The Head of AI will manage a group of deep learning researchers, computational biologists, immunologists and engineers and partner closely with product leaders and company leadership to convert cutting‑edge methods into high‑impact, mission‑critical capabilities. Location: Ramat Gan, Israel (hybrid model) What will you do? Group Leadership & Growth Lead, mentor, and develop deep learning researchers, computational biologists, and machine learning engineers; set a high bar for scientific rigor, code quality, and delivery. Establish clear ownership, role definitions, and growth paths; nurture a collaborative, low‑ego culture. Technical Strategy & Delivery Own the AI roadmap and architecture; guide model design, evaluation, and productionization (training, serving, observability, safety). Build scalable pipelines for transformers, multimodal fusion, and reasoning/agent frameworks; champion reproducibility, CI/CD for models, and cost‑efficient GPU/TPU utilization. Research Integration & Innovation Stay current with the literature; run journal clubs and technical deep dives. Evaluate, pilot, and integrate state‑of‑the‑art methods (advanced transformers, retrieval and tool‑use agents, causal/biological reasoning) into robust systems. Cross‑Functional Collaboration Translate biological and clinical questions into tractable AI projects with measurable impact. Communicate complex trade‑offs to peers and executives; align plans, risks, and milestones across functions. Mission & Impact Prioritize initiatives that advance patient outcomes and create cumulative platform value. Balance speed with scientific integrity, security, and compliance.