Top Artificial Intelligence Jobs in Jerusalem

Leads Sedgwick’s global mergers and acquisitions and corporate strategy agenda, including target identification, deal sourcing, valuation, negotiation, due diligence, integration, and performance monitoring. Partners with executive leadership and cross-functional teams to execute acquisitions, divestitures, joint ventures, and strategic investments. Builds the M&A pipeline, presents recommendations to investment committees and the board, manages external advisors, represents the company in negotiations, and leads a high-performing corporate strategy team.

Conduct advanced security research across operating systems, cloud environments, enterprise software, APIs, microservices, and containers. Discover vulnerabilities, reverse-engineer software, develop proof-of-concept tools, use AI to accelerate research, publish findings through blogs and conferences, and collaborate with detection and product teams to turn discoveries into security capabilities.

Build and lead TRG’s global talent acquisition function while scaling the company from approximately 100 to more than 200 employees. The role combines recruiting strategy, team leadership, hands-on sourcing for specialized roles, AI-enabled recruiting workflows, hiring analytics, executive partnership, employer branding, and culture development across international markets.

Leads FP&A for the global Academia & Government segment, overseeing P&L reporting, forecasting, planning, variance analysis, revenue and customer metrics, financial modeling, and executive decision support. Partners across Sales, Operations, Data, HR, Accounting, and other functions to improve reporting and performance management. Prepares executive and board materials, supports strategic investments and transformation initiatives, and leads, coaches, and develops the FP&A team.

Develop backend services and cyber defense solutions for Microsoft Security. Responsibilities include improving service lifecycles, analyzing complex system behavior, streamlining deployments, reducing costs, collaborating across engineering and security teams, and using AI-assisted development tools. The role requires hands-on backend software development experience, initiative, and the ability to design and operate scalable services in cloud or on-premises environments.

Leads Cynet’s Product, Engineering, and Counter Adversary Operations organizations, owning company-wide technology and product strategy, AI adoption, product quality, release predictability, cybersecurity platform integration, and customer outcomes. Serves as Managing Director of the Tel Aviv office, overseeing site stability, culture, talent attraction, employee experience, and cross-team leadership. Partners with executive leadership to align technology and product strategy with commercial goals.

Build and operate production AI agents, agentic workflows, and AI-enabled developer tools. Design AI systems using agent frameworks, RAG, MCP, tool calling, and guardrails. Develop AI SDLC platforms, observability, tracing, evaluations, and cost analysis. Maintain infrastructure, CI/CD, GitOps workflows, and security controls for AI services. Create internal developer tooling and automation while partnering with engineering and product teams on scalable AI solutions.

Design, develop, and deploy cloud-native, high-scale backend and Big Data systems for security intelligence. Optimize data pipelines, integrate machine learning models into production, and advance AI initiatives from proof of concept to production features. Collaborate with product, UX, data science, and engineering teams to build tools that detect and address cyber threats. The role requires backend or data engineering experience, distributed systems expertise, cloud proficiency, and practical knowledge of machine learning, LLMs, agents, and generative AI.

Build and operate Guesty’s AI platform, agent runtimes, developer tooling, cloud infrastructure, and production systems. Design scalable event-driven architectures, write TypeScript and Python backend code, manage containers and CI/CD, and implement observability through logging, tracing, and metrics. Lead initiatives from research and architecture through deployment and monitoring while enabling more than 100 engineers to develop reliable AI applications.

Research how adversaries exploit generative AI, LLMs, autonomous agents, on-device assistants, and multimodal systems. Conduct hands-on adversarial prompting and jailbreak research, develop tooling, translate findings into defensive product improvements, and publish security research through blogs and conference talks. Serve as a subject matter expert in adversary tradecraft and security operations while collaborating with researchers and business units.

Own a portfolio of conversational AI products from opportunity identification through launch, scaling, and iteration. Define success metrics, monitor performance, improve conversational quality, and manage hallucination and renter feedback metrics. Translate partner, operations, and user feedback into roadmaps, PRDs, and Jira tickets. Collaborate closely with Engineering and Data Science on experiments, labeling, evaluation loops, engine improvements, and new AI capabilities. The role requires hands-on execution, deep product expertise, and comfort with ambiguity.

Lead complex, cross-functional technology programs across AI, software, robotics, vehicle hardware, infrastructure, simulation, data, and product teams. Own project delivery, improve efficiency, coordinate stakeholders, manage risks and dependencies, align programs with business goals, and drive continuous improvement. The role requires strong technical judgment, systems thinking, communication, influence, and experience delivering complex software or technology programs in fast-paced environments.

The Head of AI & Automation will lead MAËLYS' AI transformation by defining strategy, building AI solutions, and driving business impact across functions.

Own the AI platform roadmap and develop reusable capabilities such as retrieval, embeddings, scoring, and agent tooling. Partner with engineering, data, and product teams on architecture, governance, evaluation, monitoring, safety, cost, and transparency. Enable adoption of AI capabilities across products, improve developer experience, and establish standards for building reliable AI systems in production.

Own global paid acquisition strategy and execution across Google Ads, LinkedIn Ads, and other channels. Manage multi-region budgets to drive pipeline, revenue, and ROI; partner with cross-functional teams; integrate AI into campaign optimization, targeting, reporting, and workflow automation; and lead experimentation across campaigns, audiences, creatives, and landing pages.

Lead the technical direction of an AI platform domain, designing scalable architectures and production-ready agentic systems. Drive decisions involving LLMs, retrieval, tool calling, MCP, evaluation frameworks, and AI infrastructure. Own cross-team initiatives from design through production, establish engineering standards, mentor teams, conduct architecture reviews, evaluate emerging technologies, and balance rapid experimentation with reliability, scalability, and production quality.

Own end-to-end data science for fraud and risk detection products, including LLM and classical ML modeling, prompt engineering, evaluation, experimentation, monitoring, and production deployment. Partner with engineers on real-time streaming and batch systems while defining data-quality metrics, observability, labeling strategies, and performance improvements for adversarial, imperfectly labeled data.

Lead end-to-end design, development, and productization of AI agents and production AI features for sovereign cloud environments. Define evaluations, quality metrics, guardrails, monitoring, and CI/CD release gates. Optimize inference cost, latency, and reliability while developing prompt, retrieval, and memory strategies. Partner with product, security, architecture, and operations teams, own live-site reliability, influence platform direction, and mentor engineers.

Drive AI and business transformation initiatives from strategy through execution. Manage governance, prioritization, workstreams, dependencies, risks, KPIs, ROI models, and stakeholder accountability across global teams. Partner with business, product, AI, and IBT stakeholders to implement adoption frameworks, build transformation processes, resolve blockers, and communicate progress to senior leadership.

Leads Data Science, Network Research, and Asset Classification teams developing highly accurate cyber-physical system visibility solutions. Oversees AI/ML scaling, feature engineering, industrial and medical protocol parsing, data fusion, and passive and active data collection. Collaborates with product and R&D teams to support asset discovery, classification, risk management, segmentation, and threat detection across OT, ICS, and IoMT environments.

Own the AI cost visibility product end-to-end, building Go backend services, APIs, and TypeScript/React interfaces. Translate cloud AI spend data into clear FinOps experiences, use AI throughout development, and ensure reliability, monitoring, and measurable customer impact. Define product direction, work through ambiguity, contribute to architecture and design reviews, mentor engineers, and deliver scalable multi-tenant SaaS capabilities across public cloud platforms.

Explores and prototypes AI, agent, real-time transport, memory, and infrastructure technologies. Runs technical spikes, evaluates unfamiliar codebases, designs benchmarks, measures latency and cost, and produces evidence-based build-versus-adopt recommendations. Hands findings to production teams and tracks the evolving AI tooling landscape.

Design and develop production-grade generative AI applications and agentic systems. Build secure, scalable, observable AI services using Python, Docker, and cloud technologies, while applying testing, evaluation, CI/CD, and troubleshooting best practices. Collaborate with researchers to transform prototypes into reliable containerized cloud applications. Contribute to technical innovation, product development, and engineering standards across GenAI solutions.

Lead and manage all global legal and compliance functions, advising executives on commercial, M&A, contracts, AI/privacy, and regulatory risk. Oversee legal governance, statutory filings, policies, and a global legal team while supporting growth, partnerships, and cross-border operations.

Own the end-to-end architecture of Kaltura’s agentic platform, integrating speech recognition, retrieval, planning, tool calling, speech synthesis, avatar rendering, and video systems. Establish platform standards, interfaces, governance, latency and cost budgets, privacy models, observability, and capability integration strategies. Prototype solutions, evaluate architectural options, and partner with research, engineering, product, executives, and customers to deliver scalable, reliable, multi-tenant production systems.