AI Executive jobs in Israel

Description 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. About the role: 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. Requirements Required qualifications: • People Leadership – 10+ years managing and developing technical teams (mix of deep learning researchers, data scientists, and ML engineers). • Engineering & AI Depth – Proven record architecting, building, and deploying large‑scale AI systems; strong software engineering foundations (Python, distributed systems, cloud, data platforms, MLOps). • Research Fluency – Up‑to‑date on modern AI; advantage for hands‑on work with transformers and reasoning/agent systems, or demonstrated ability to quickly partner with computational teams to connect the dots and make sound architectural choices. • Communication – Excellent written and verbal communication; able to align diverse stakeholders and influence at executive level, able to represent company’s AI vision externally. • Mission Orientation – Driven to improve patient outcomes; execution‑focused and committed to building durable value. • Collaboration & Low Ego – Highly cooperative, credits the team, and optimizes for collective success. Preferred Qualifications: • Strong advantage: Background in molecular biology/biomed, or success applying AI in complex, data‑rich, or regulated domains (e.g., computational biology, bioinformatics, immunology, healthcare). • Track record bridging research and product (publications, patents, or deployed systems with measurable impact). Desired personal traits: • You want to make an impact on humankind • You prioritize “We” over “I” • You enjoy getting things done and striving for excellence • You collaborate effectively with people of diverse backgrounds and cultures • You have a growth mindset • You are candid, authentic, and transparent When you apply for a role at Immunai, we process your personal data (such as CV, contact details, and professional background) to assess your suitability for current and future roles. Your information may be shared internally with relevant employees and stored or processed by trusted service providers, some of whom may be located outside your country of residence. You can read more about how we process data here: https://www.immunai.com/privacy-policy/.

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders - yes, we really are leaders - we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are seeking a visionary who reports to the CEO, to serve as the focal point of our internal AI strategy and lay the groundwork for an AI-enabled future across our organization. In this newly created role, you will act as the primary change agent bridging business strategy, technology infrastructure, and human capital. Your mission is to transition the company into a structured, secure, and value-driven operation - driving targeted AI adoption specifically where it yields the highest impact to boost efficiency, achieve core business goals, and foster long-term growth. Responsibilities • Authoring, shaping, and continuously updating the company's AI Transformation Strategy for internal operations, engineering enablement, knowledge management, and workforce productivity, aligned with business goals and operational excellence. • Process Optimization & Internal Efficiency: Mapping existing workflows across various departments (Marketing, Sales, HR, Delivery, R&D, Product, etc.) to identify bottlenecks. • Deploying recurring autonomous workflows (e.g., automated reporting, monitoring) using AI agents to streamline day-to-day operational work. • Architect and manage a centralized, machine-readable repository of enterprise knowledge- leveraging AI to continuously ingest, structure, and update company data to ensure it is instantly accessible and optimized for AI context engines, RAG (Retrieval-Augmented Generation) pipelines, and employee query systems. • Democratizing Development via AI-Assisted Development: Enabling business units to leverage AI-assisted development methodologies and platforms to build custom operational workflows. • Agents Platform: Building a company-wide layer for creating, managing, and sharing AI agents that integrate directly with internal enterprise systems to support operational execution. • Governance, Security, AI Cost Management (AI FinOps)& Economics: • Measuring adoption, usage, and the true cost of AI tools and workflows across all platforms to understand their impact and optimize organizational investment. • Establishing control mechanisms for "AI cost management" and AI FinOps - making techno-economic decisions (e.g., choosing between heavy models vs. specialized open-source models). • Specialized open-source models) to optimize compute costs. • Creating a balanced AI Acceptable Use Policy with the CISO and Legal that protects organizational data while acting as a secure foundation for rapid innovation. Requirements • Strategic Visionary: Experience in defining and executing a technological or operational strategy, with a proven ability to translate AI trends into a structured corporate roadmap. • Deep Technological Understanding of GenAI & Autonomous Systems: • Always up-to-date with the most recent AI technologies and capabilities, with a strong grasp of software architecture, Data engineering, and modern AI paradigms (LLMs, RAG, API integrations). • Deep understanding of how autonomous agents and AI reshape modern job functions, with the ability to set new standards for workforce assessment and collaboration between humans and machines. • Hybrid Tech & Business Background: • Significant experience in technological leadership, Internal Product Management, Platform Engineering, or digital transformation. • Experience overseeing the lifecycle of internal applications is an advantage, particularly with exposure to AI-assisted development platforms and modern AI generation tools from ideation to deployment. • Entrepreneurial Spirit & Matrix Leadership: • An "Enabler" by nature - someone who builds secure foundations for teams to innovate rapidly. • Exceptional communication skills - the ability to articulate complex concepts to R&D teams, Legal, and C-Level executives. • The ability to step into a "blank canvas" environment, establish methodologies, prove immediate business value, and subsequently build a team and budget around that success. • Proven ability to orchestrate company-wide transformations.