לוח משרות דרושים הייטק AI משרה מלאה

we are seeking a highly skilled Senior AI Engineer to design and implement complex, multi-agent systems powered by LLMs.
In this role, you will build and orchestrate AI agents using LangGraph and LangChain, manage stateful conversations, and support scalable RAG pipelines that connect external knowledge sources to reasoning agents. Youll work closely with product and backend teams to deliver real, production-grade AI capabilities.
Responsibilities:
Agent Orchestration: Design, build, and maintain networks of LLM-powered agents that collaborate, share context, and reason together to execute complex workflows.
LangGraph Architecture: Implement and manage LangGraph graphs that handle message memory, context persistence, and multi-step task coordination.
RAG Pipelines: Optimize RAG systems to enrich agent reasoning with relevant, up-to-date information.
Prompt & API Composition: Build modular prompt templates and API calls that agents use for reasoning, retrieval, and action execution.
Integration & Deployment: Work with engineers to integrate the agentic framework into production systems via APIs and backend services.
Evaluation & Iteration: Implement evaluation frameworks to measure performance, reliability, and consistency of AI responses across multi-agent pipelines.
Cross-Team Collaboration: Partner with product and engineering teams to align AI behaviors with real user workflows and KPIs.

We are seeking an exceptional Director of AI Software to lead the full AI software stack that powers our next-generation accelerator platform. This executive-level role owns the strategy, architecture, and execution of all AI software components- including frameworks, compilers, runtime, kernels, developer tools, and end-to-end AI workloads.
You will lead multiple teams responsible for running state-of-the-art models (LLaMA, DeepSeek, diffusion, MoE and future generations of AI), building high-performance kernels, integrating industry frameworks, and delivering a developer-friendly stack to customers, which showcases and materializes the full potential of our hardware.
Responsibilities
Own the vision, roadmap, and execution of the full AI software stack (frameworks, compilers, runtime, kernels, tools).
Lead teams responsible for running and optimizing AI workloads
Deliver first-class support for PyTorch, Triton, IREE, CUDA-compatible flows, and emerging AI frameworks.
Oversee development of high-performance kernels (GEMM, attention, memory ops) and compiler optimizations.
Drive HW/SW co-design with silicon, architecture, and runtime teams to maximize performance and efficiency.
Ensure end-to-end product delivery, including SDKs, toolchains, developer experience, and documentation.
Own benchmarking, performance targets, and competitive analysis
Build, mentor, and scale a multi-disciplinary AI software organization.
Support bring-up, validation, and tuning of new hardware accelerator generations (pre-silicon and post-silicon).

We are seeking a top-notch AI Runtime Team Lead to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. The AI Runtime is the layer responsible for attaching the AI framework and optimizing the accelerator runtime to best execute the AI workload.You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues. In this role, youd be responsible for leading and executing cross-team SW development activities from start to finish.
Responsibilities
Lead the development and execution of the AI runtime software stack, including team building and strategic planning.
Full responsibility for the technical aspects of the solution in the application Runtime flow and guide the team's implementation.
Taking an active role in hands-on implementation and providing technical guidance to team members.
Set a high bar for the software development cycle and code quality, and actively mentor others to achieve it. Guide other developers in the team as part of the joint effort.
Wide system impact through collaboration with the other SW teams.

We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on our AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.
The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.
Responsibilities
Lead and mentor a team of AI application and performance engineers.
Run and optimize AI workloads (LLaMA, DeepSeek, etc.) and execute MLPerf benchmarks.
Analyze end-to-end performance and identify HW/SW bottlenecks.
Develop optimization strategies across models, kernels, frameworks, and runtime.
Build profiling, debugging, and validation tools for large-scale AI workloads.
Collaborate with hardware, compiler, and device software teams to improve performance.

we are looking for a AI/ML/Software Engineer.
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. You'll have the chance to build cutting-edge models and AI systems for cybersecurity. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of Generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!
Develop and train cutting-edge AI models for the security domain.
Develop a platform for AI data processing, training, fine tuning, evaluation and other AI related needs.
Develop agentic systems that automate and uplift security operations.
Author blog posts, white papers and research papers related to developments in AI for the security landscape.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into products.
Contribute to our groups culture as an early member of the team.

We welcome AI Researchers, Applied Scientists, Machine Learning Engineers and Software Engineers with experience in large-scale systems and AI/ML to join Foundation AI, a new group focused on developing open-source LLMs (large language models) and other AI technology for cybersecurity.
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. You'll have the chance to build cutting-edge models and AI systems for cybersecurity. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of Generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!
Develop and train cutting-edge AI models for the security domain.
Develop a platform for AI data processing, training, fine tuning, evaluation and other AI related needs.
Develop agentic systems that automate and uplift security operations.
Author blog posts, white papers and research papers related to developments in AI for the security landscape.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into products.
Contribute to our groups culture as an early member of the team.

The Delivery department combines intelligence, data, and technology experts to provide tailored solutions to major tech clients across a wide range of abuse areas and online harms. As the Delivery Operations team lead, your mandate is not only to improve efficiency and operational agility but also to build, mentor, and scale a team of individual contributors into a cohesive, elite unit. This role requires a sharp, action-oriented leader focused on driving operational excellence across the Delivery team.
Roles and Responsibilities
* Translate Deliverys strategic goals into clear, scalable execution plans, with margin optimization as a core KPI.
* Lead cross-Delivery operational coordination and methodology, partnering with vertical leads to translate client and project needs into scalable, automated workflows that drive standardization, efficiency, and effectiveness.
* Build, mentor, and scale a high-performing Operations team, ensuring Ops Managers act as clear POCs for their verticals.
* Drive the adoption of new automation and AI-based operational tooling across Delivery to improve scale and efficiency.
* Track operational performance and impact through KPIs, dashboards, and structured reporting.
* Own Delivery operational governance, including org charts, onboarding flows, and cross-Delivery operational processes.
* Own Delivery knowledge management, ensuring operational and client data is organized, accessible, and reusable.
* Plan and manage the Delivery budget, including forecasting, expense tracking, margin analysis, and vendor optimization.
* Act as the VP Operations right hand, supporting Delivery-related planning, presentations, and ad-hoc strategic initiatives.

we are looking for a AI Product Lead.
Responsibilities:
Build roadmap for AI tools within our product offering that transform how dairy farmers work.
Dive deep into discovery: Talk to farmers, understand their reality, get obsessed with identifying the big problems.
Build roadmap for internal AI tools that change the way we work as a company; Champion AI adoption internally and externally - make it accessible, valuable, and exciting.
Balance quick wins with long-term bets for high impact, lead rapid POC to Production cycles and deliver measurable impact.

We are seeking a student with a passion for AI to join our GenAI group, focused on driving product innovation through our AI-powered solutions.

This role offers a unique opportunity to work on cutting-edge projects, where you will validate, optimize, and develop LLM, knowledge bases and agentic capabilities that enhance the performance and scalability of our AI platform. This person will be involved in solving complex, real-world challenges while making a tangible impact on the evolution of our AI products.

What youll do:

Optimize, evaluate and refine AI solutions to enhance performance, accuracy, and efficiency.

Expand training and testing data, leveraging both hand-crafted and automated examples.

Address challenges in AI architecture scalability and reliability.

Stay at the forefront of GenAI advancements and best practices.

Our group is building an ambitious, AI-powered product at the heart of Check Points strategic vision - combining cutting-edge AI technologies with world-class cybersecurity expertise. This role offers a unique blend of deep technical challenges, hands-on development, and meaningful product impact. Youll have access to some of the best cybersecurity data sources available, working in a fast-paced, innovation-driven environment that combines the agility of a startup with the stability of a global leader.

If you're passionate about building state-of-the-art systems, solving complex engineering problems, and working with a great team to deliver real impact - wed love to hear from you.

Key Responsibilities
Design, architect, and implement a complex AI-powered security product
Develop and optimize scalable, reliable, and high-performance data pipelines, APIs, and cloud services
Integrate AI models and in-house agents into robust production systems
Collaborate closely with cross-functional teams, including data scientists, software engineers, and product teams, to drive innovation from concept to deployment

We are building the Windows agent that powers GenAI Protect, flagship initiative to secure AI workflows across endpoints, browsers, and SaaS. In this role you will help define how AI and security intersect at the OS level and solve problems no one has solved before. If you want to work on technology that sits on the critical path of how people and machines use GenAI every day, this is where you want to be.



Key Responsibilities
Own the Windows protection layer: design and implement the core proxy, hooks, and anti-tampering mechanisms for GenAI agents.
Collaborate with Mac, Cloud, and Security Engine teams to build unified multi-platform behavior analysis.
Design IDE and developer environment integrations to monitor and protect AI-driven code flows.
Deliver production-ready, high-performance agent components with deep OS-level visibility.
Influence architecture decisions, threat models, and agent-core evolution.

We work with modern cloud-native architectures, large language models (LLMs), multimodal AI, autonomous agents, and advanced analytics platforms to solve complex business challenges. As part of our companys Technology Consulting practice, we collaborate closely with clients, engineers, data specialists, and business stakeholders to translate emerging technologies into scalable, production-grade solutions.
Role Overview
We are looking for a Data & AI Project Manager to lead the delivery of AI and Generative AI-based solutions for our clients. In this role, you will own projects end-to-end - from initial scoping and requirements definition through development, deployment, and continuous improvement.
This role is well-suited for a technically oriented project or product manager who enjoys working at the intersection of data, AI, engineering, and business, and who thrives in fast-paced, complex environments.
Responsibilities
Lead the full lifecycle of AI and data projects, from ideation and design through implementation, deployment, and ongoing optimization.
Translate business and user needs into clear system requirements, technical specifications, and structured delivery plans.
Define project scope, priorities, milestones, and deliverables, ensuring execution on time, within scope, and within budget.
Collaborate closely with development, data, and infrastructure teams to support efficient delivery and resolve technical dependencies.
Drive alignment between technical solutions and business objectives, ensuring delivered solutions generate tangible client value.
Manage multiple stakeholders on both client and internal sides, maintaining clear communication and expectations.
Support the design of intuitive, user-centered AI solutions and workflows.
Identify risks, manage trade-offs, and proactively address challenges throughout the project lifecycle.