Top Artificial Intelligence Jobs in Jerusalem

Partner with Customer Success to identify and deliver AI use cases: build, test, and operationalize AI agents, automations, and workflows integrated with CS systems (Zendesk, Slack, Notion, CRM). Drive adoption through enablement, define KPIs, measure impact, and translate field intelligence into product and process improvements to move CS from reactive support to proactive operational intelligence.

Lead a team of engineers to design and implement scalable systems for AI-driven experiences, ensuring integration across the platform, while fostering a culture of innovation and growth.

The role involves managing the AI platform roadmap, defining reusable AI capabilities, collaborating with engineering, and shaping AI standards within the product ecosystem.

Design, build, and maintain backend infrastructure and microservices enabling AI-driven features. Integrate AI models, develop APIs and data pipelines, ensure performance and resilience, drive engineering excellence, and mentor other backend developers.

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.

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.

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.

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.

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.

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.

Join Redis as a Software Engineer to develop and optimize vector and search capabilities, focusing on performance, reliability, and collaboration with multi-functional teams.

Design, build, and operate scalable integrations and AI-powered workflows (LLMs, agents, RAG) across enterprise systems using iPaaS and custom APIs. Own the MCP Gateway platform, ensuring reliability, security, monitoring, and maintainability while delivering MVP-first automation and driving adoption and efficiency across the organization.

The Senior Backend AI Engineer will design and build Riverside's AI architecture, focusing on reliable multi-step AI workflows and system performance under load.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

The AI Compiler Engineer will develop the AI graph compiler and work on the software stack to optimize AI models for unique hardware architecture. Responsibilities include enhancing performance for AI models and contributing to related components in the software stack.

The engineer will optimize AI libraries and components for unique hardware, focusing on performance improvements in AI models and kernels.

Design, develop, and deploy generative AI solutions for B2B SaaS products, guiding strategic integration and optimizing performance.

The AI Transformation Lead will accelerate AI adoption by identifying opportunities, translating challenges into AI solutions, and driving organization-wide change.

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.

Build, deploy, and optimize production LLM-powered healthcare applications. Design agentic workflows and multi-modal data pipelines, implement MLOps/LLMOps and CI/CD, ensure HIPAA compliance, profile performance, and collaborate with clinicians to deliver clinical decision support and document-processing solutions.

Technical owner for SysAid's Context Lake and Agentic Layer: build and maintain GitHub-based structured context, design agent workflows and orchestration, integrate with martech (CRM, automation, paid media), enable marketers to run automated campaigns, and iterate infrastructure and tooling to improve agent outputs and production reliability.

Lead identification, design, and implementation of scalable generative-AI solutions. Evaluate models and tools, build prompts, RAG pipelines and AI agents, integrate workflows with systems, run projects from ideation to rollout, and guide organizational AI adoption.

The AI Operations Engineer will automate workflows, build AI agents, and integrate tech solutions to improve operational efficiency in healthcare at Droxi.