Top Artificial Intelligence Jobs in Israel

Lead the development of AI experiences across the HiBob platform, focusing on intuitive user interactions and driving product adoption through AI-powered workflows.

The GTM AI Product Manager will execute GTM strategies into operational AI solutions, manage project scopes, and ensure successful implementations across teams, while building prototypes and facilitating stakeholder partnerships.

The Head of Digital Acquisition will lead HiBob's global paid growth engine, optimize paid media campaigns, mentor a team, and drive pipeline growth across segments.

The Applied AI Engineer will build AI solutions for business teams, optimize workflows, and collaborate to translate business needs into technical implementations, using advanced AI orchestration frameworks and Python.

As a Senior Product Manager, you will define and evolve GitLab's AI Platform Management capabilities, focusing on AI Control Plane and strategic governance. You'll lead product discovery, drive stakeholder alignment, and collaborate across teams to deliver effective management solutions for AI usage.

The Senior AI Engineer will design and maintain AI capabilities, develop internal servers, implement evaluation frameworks, and foster AI practices while collaborating across departments at Riskified.

Design, implement, and maintain Go-based scheduler components for AI workloads on Kubernetes. Improve scalability for massive clusters, solve placement and optimization problems, lead code/design reviews, mentor engineers, and collaborate with upstream projects, contributors, and customers to translate production feedback into engineering improvements.

Lead development and adoption of AI-driven architecture workflows for NIC and switch platforms. Define roadmap, build agentic flows with AI engineering, validate architecture outputs, collaborate with architects and leadership, run betas, and drive organization-wide tooling adoption to shorten design cycles and raise output quality.

Lead technical direction and roadmap for an open-source Kubernetes AI scheduler. Design scalable scheduling architectures for massive GPU clusters, solve optimization and distributed-systems challenges, engage with community and upstream projects, and mentor engineers.

Develop and implement novel machine learning algorithms and foundation-model components for biomedical/clinical outcome prediction. Lead research, experimentation, distributed training, benchmarking, and production-quality implementation while collaborating with cross-functional teams and contributing to publications and IP.

Lead design and implementation of end-to-end AI use cases: query and prepare data, integrate LLMs and AI agents, connect data/models to business workflows, and optimize scalable solutions within cloud lakehouse architectures.

Join an SRE team to build and maintain scalable, reliable infrastructure. Develop automation, CI/CD and IaC, monitor performance and KPIs, run incident response and postmortems, and improve observability using logging, tracing, and metrics.

As an AI Forward Deployed Engineer, you will embed with strategic accounts to build AI solutions that address procurement challenges, while managing customer relationships and delivering outcomes.

The AI & IT Operations Manager will implement AI tools to enhance operations, manage IT infrastructure, ensure security compliance, and support internal stakeholders.

As a Senior System Software Architect, you will enhance AI workload acceleration, design hardware features, lead architectural efforts, and evaluate new technologies.

As a Senior HPC and AI Cluster Administrator, you'll deploy and manage HPC/AI clusters, maintain CI/CD pipelines, and troubleshoot across software and hardware.

Design and develop RDMA protocols for AI networking, collaborate with teams to innovate solutions, and build proofs-of-concept.

The Senior AI ML Solution Engineer designs AI development pipelines, evaluates ML methods for code generation, and ensures quality in AI-generated code. Responsibilities include creating evaluation systems, leading proofs of concept, and collaborating on risk-based development strategies.

Develop AI and LLM-based solutions to enhance design and verification processes, collaborating with cross-functional teams for efficiency.

As a Senior LLM Agents Architect, you will research and prototype AI solutions, deploy ML models, contribute to architecture design, and collaborate with teams to deliver AI-powered solutions.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Lead the design and implementation of AI solutions integrating Red Hat's software with Nvidia's technologies, mentor teams, and ensure high-quality offerings.

The Senior Software Engineer will develop AI solutions, integrate Nvidia hardware, optimize code for performance, and guide junior engineers within Red Hat's Ecosystem Engineering group.

As an AI Engineer, you will design and develop LLM-based intelligent agents, integrate tools, collaborate with teams, and improve AI models.

This role involves managing a team of AI/ML engineers to develop innovative AI solutions, providing technical leadership, and collaborating across teams.