Top Artificial Intelligence Jobs in Israel

Lead design, build, deploy, and operate production AI systems across classical ML, computer vision, LLMs, and agentic workflows. Create scalable model-serving and workflow architectures, evaluation strategies, observability and feedback loops, optimize inference and cost, and provide technical leadership, code reviews, and mentoring.

As an Applied AI Engineer, you will develop machine learning models, integrate AI tools into workflows, and analyze security risks utilizing AI.

Lead enterprise customer engagements to discover business needs, design practical AI/LLM solutions, run workshops, drive delivery and growth, and align Product/R&D with customer outcomes.

Record short video and audio clips and perform short scripts in varied tones and emotions. Transcribe/capture text from audio/video. Work remotely on a project basis with flexible hours; no guaranteed minimum.

Analyze and model performance of advanced AI workloads to identify bottlenecks and recommend system-level optimizations. Build platforms, simulations, and analytical tools; evaluate trade-offs across compute, memory, storage, and networking. Translate research insights into software, hardware, and networking architecture requirements and collaborate with architecture, software, and product teams to influence NVIDIAs AI infrastructure roadmap.

Lead development of a modular multi-RAT RAN digital twin integrating production MAC/scheduler into deterministic per-TTI closed-loop simulations with PHY, channel, UE, traffic, and network models. Define fidelity tiers, calibrate against lab/field data, develop and evaluate ML-based RAN features, build reproducible experiments and validation practices, and integrate automated testing into CI/CD for scalable engineering use.

Develop and deploy state-of-the-art multi-camera vision localization algorithms combining deep learning (Transformers, GNNs, CNNs) with classical geometric optimization to achieve centimeter-level vehicle localization on HD maps. Analyze real driving data, improve robustness across visibility conditions, and own solutions end-to-end from prototype to production.

Lead corporate AI strategy and roadmap; identify and prioritize use cases; build business cases; manage end-to-end AI projects from PoC to scale; partner with IT/data/cybersecurity/legal; ensure data quality, governance, responsible AI, compliance; drive adoption and monitor performance, cost, and scalability of deployed AI solutions.

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

Lead and govern AI-enabled business transformation initiatives, translating strategy into execution plans, KPIs, ROI models, and cross-functional adoption. Manage prioritization, dependencies, risk tracking, stakeholder alignment, and senior leadership communications to ensure measurable business impact.

Lead the engineering infrastructure for SONiC Network OS product development, enhancing CI pipelines and implementing AI tools for regression analysis. Mentor team members and drive technical direction.

The Generative AI Technologist will design and implement AI features in the FinOps SaaS platform, collaborating with cross-functional teams and optimizing AI performance.

Review, evaluate, and annotate AI-generated multilingual and multimodal content (text, images, audio, video). Perform quality checks, identify edge cases, contribute to dataset development, participate in calibration, and provide feedback to improve annotation guidelines and workflows.

Manage and mentor a software engineering team building automation, provisioning, configuration, and monitoring platforms for HPC/AI data centers. Drive technical direction, collaborate with architects and DevOps, lead code reviews and design discussions, troubleshoot distributed systems, and improve observability and reliability.

The AI Researcher will research advanced AI model capabilities, develop assessment methodologies, create mitigation solutions, and support product development.

Lead Windward's company-wide AI transformation across adoption, infrastructure, and builds. Build and run the program end-to-end, manage and grow teams, drive change with VPs, prioritize initiatives, create and sometimes implement agents and workflows, and measure/report impact (hours saved, adoption, platform leverage).

Design, prototype, and deliver AI-powered solutions using agentic and low-code platforms. Lead technical workshops, build agentic workflows and CI/CD for an AI builders community, ensure responsible AI practices, and collaborate with business and IT teams to deploy secure, maintainable solutions.

The Senior AI Engineer will build modular AI capabilities and autonomous agents for the CYE Platform, ensuring reliability and usability while collaborating with non-technical users.

Drive go-to-market strategy for AI products, conduct market research, develop product messaging and positioning, and enable sales teams for success.

Lead AI engineering strategy and execution across the company: prioritize and coordinate GenAI and agentic initiatives, set technical direction for prompts, retrieval, serving, observability, and guardrails, partner with platform engineering to scale infrastructure, build governance and education programs, and translate AI roadmaps into measurable business outcomes.

Design and refine prompts, build automations integrating LLMs, write Python/SQL code, perform QA on AI models, research AI advances, and collaborate with cross-functional teams to deliver AI-driven products.

The Algorithms Engineer will develop AI and Computer Vision solutions, manage model training and evaluation, and collaborate on product integration.

The R&D Manager for AI Python Frameworks will lead a team to design and build foundational AI infrastructure, focusing on agent lifecycle management, observability, and developer enablement, while ensuring AI system reliability and quality across the organization.

The Agentic AI Engineer will develop AI-driven solutions, automate workflows, and collaborate with business teams to enhance processes while ensuring compliance and security.