לוח משרות דרושים AI Engineer

we are looking for an experienced and highly motivated Development Group Manager to lead our AI Agents Development Group under the Data, AI & Research department.
This role offers an opportunity to drive innovation and spearhead cutting-edge conversational and Agentic technologies within a global leader in security. You will be responsible for recruiting and managing a world-class team of AI engineers and architects, guiding the development of Agentic and conversational solutions that enhance products and services. 

Leading and mentoring several teams of AI engineers, fostering their technical excellence and innovation. 
Overseeing the full AI solution lifecycle, including data acquisition, model selection, fine-tuning and usage, evaluation, and continuous improvement. 
Implementing a data-driven decision-making approach to ensure AI solutions align with business goals and deliver measurable impact. 
Establishing numerical quality measurements to track and improve AI model performance and effectiveness, as well as adoption and satisfaction. 
Collaborating with product management and the field to define the roadmap for Agentic AI capabilities and ensuring alignment with business objectives. 
Improving and complying with best practices for AI-related governance, security, and ethical principles. 

we are looking for a team of AI Transformation Principals to drive function-specific design, engagement, and execution of a wider CyberArk transformation program aimed at transforming how we work using AI, automation, and data. You will bring your unique blend of deep functional and operational understanding, strategic design thinking, business acumen, and expertise in applying and operationalizing the use of AI, automation, and data to realize the scaled use of these technologies to achieve our strategic, financial, and operational objectives. As a focal point for the business function, you will lead and partner and with colleagues from all levels within the function and across CyberArk, including senior leaders and SMEs. You will work directly with the Director of Strategic Initiatives, AI Transformation team, and other stakeholders including IT, business process owners, and operations while gaining exposure to the Executive Leadership Team and the wider transformation initiative across CyberArk

Responsibilities:

Develop a deep understanding and their focus business functions (one or more of the following: HR, Legal, Finance, IT, B2B Software Product Development, Go-To-Market (Sales, Marketing, Customer Success, Solutions)) operating contexts, goals, and strategies (Note: Principals will be assigned to specific functional areas based on background expertise)
Baseline the focus business functions current state of AI/automation/data maturity and capabilities
Work with senior leaders, functional SMEs, and team members including IT and operations, to frame, structure, and execute on the AI/automation/data transformation of their focus business function(s) as part of the overall transformation of CyberArk
Define, iterate, and execute on the functional transformation roadmap and priorities
Infuse external best practices and methodologies for adopting AI/automation/data into their focus business functions, while adapting these best practices with a whats best for CyberArk approach
Drive wide-spread adoption of AI and automation within their focus business function(s), including support for ongoing user engagement and enablement, and providing technical guidance on potential implementation pathways
Conduct analyses and develop insights/recommendations and action plans
Establish operating rhythm to guide initiative governance, success metrics, and tracking
Maintain strong focus on implementation and change management to ensure strategies are successfully translated into execution
Identify initiative dependencies and risks and develop mitigation plans
Build executive presentations to share insights/implications, provide progress updates, and escalate critical items

We are seeking an experienced data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced Machine Learning models, including LLMs, to support various product teams across our company. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.
What am I going to do?:

* Take leading roles in foundational AI projects across our company: developing and fine-tuning LLMs, building reusable components for generative AI, supporting Real-Time predictions, and enabling streaming data utilization across online models.
* Provide advanced data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
* Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
* Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
* Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
* Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across our company.
Equal opportunities:
At our company, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. we are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, our company will provide accommodation to individuals with disabilities or a special need.

Were looking for a Product Manager to lead our company's LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace. As the PM for LLM Infrastructure, youll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. Youll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more. Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.
What am I going to do?:

* Define the product vision and roadmap for our company's LLM infrastructure, aligning with long-term company strategy and cross-team needs.
* Lead the development of scalable systems that extract meaning.
* Structure from conversational and behavioral data.
* Drive adoption of LLM capabilities across our company by building unified APIs, shared frameworks, and streamlined integration pipelines.
* Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
* Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
* Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
* Manage technical complexity and connect infrastructure efforts with clear business value.
Equal opportunities:
At our company, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. we are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, our company will provide accommodation to individuals with disabilities or a special need.

We are looking for a AI Agent Research Engineer.
As an AI Researcher / Agent Engineer, youll work at the cutting edge of language models, reasoning systems, and intelligent agents. Help design novel agent architectures, iterate on prompting strategies, and build intelligent systems that reason about code, tools, and context to enhance software development.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across . As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.

What am I going to do?
Take leading roles in foundational AI projects across : developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across .

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.

As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?
Take leading roles in projects such as search engine ranking, promoted ads in search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of AI platform. Develop models and framework solutions for the group.

Were looking for a Product Manager to lead LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace.

As the PM for LLM Infrastructure, youll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. Youll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more.

Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.

What am I going to do?
Define the product vision and roadmap for LLM infrastructure, aligning with long-term company strategy and cross-team needs.
Lead the development of scalable systems that extract meaning.
Structure from conversational and behavioral data.
Drive adoption of LLM capabilities across by building unified APIs, shared frameworks, and streamlined integration pipelines.
Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
Manage technical complexity and connect infrastructure efforts with clear business value.

We're looking for a team lead to own our AI chatbot and tech projects. Youll manage the chatbot project coordinators, guide roadmap and priorities, and lead improvements in our AI agents, autoflows, and performance. This role is a mix of project ownership, team management, and hands-on execution - focused on making our AI experience smarter and smoother for users and agents.

What am I going to do?
Lead AI chatbot and tech projects through full lifecycle: discovery, delivery, and optimization
Manage day-to-day tasks, sprints, and team priorities
Work with CS director to define and improve autoflows, AI agent performance, and related processes
Identify and lead process and AI improvement initiatives to meet customer and business needs
Track KPIs, spot gaps, and drive data-based decisions
Collaborate with product teams to enhance AI agents and automate processes
Stay updated on AI and chatbot best practices
Help team members grow by coaching, sharing knowledge, and creating opportunities to improve their skills and expertise

We are looking for a passionate Software Developer to join our AI & Secure Coding team. This role is ideal for a developer who wants to be at the forefront of innovation, building tools that merge AI capabilities with secure software development practices.
How will you make an impact?
In this role, you will be responsible for:
- Leading AI-driven initiatives by integrating LLMs, prompt engineering, and agent-based architectures into security tools.
- Developing and refining tools that empower developers to write secure code effortlessly.
- Collaborating closely with cross-functional teams to design and implement real-world solutions.
- Contributing to the MCP server and internal tooling.

we are looking for a Senior Software Engineer - AI Security
What Youll Do

Design and implement backend services and APIs in TypeScript (REST).

Build and maintain Elasticsearch indices, mappings, and aggregations to support search-heavy features.

Use Temporal to run long-lived jobs and workflowsthink retries, versioning, idempotency.

Ship code through CI/CD pipelines (GitHub Actions or Jenkins).

Deploy and troubleshoot services on AWS (EKS/ECS, RDS/Aurora, OpenSearch, SQS/SNS, IAM).

Add metrics, logs, and traces; set up alerts that page us only when it matters.

Review pull requests, share context in design docs, and help the team follow straightforward, repeatable practices.

Were looking for an experienced MLOps / DevOps Engineer to design and manage the infrastructure powering large-scale machine learning systems. Youll be responsible for deploying GPU-heavy models (including LLMs) on cost-efficient, production-grade infrastructure, supporting both ML workflows and application artifact delivery.

Youll work with cutting-edge technologies like vLLM, Triton, SageMaker, ClearML, Karpenter, KEDA, and EKS, ensuring the right balance between performance, scalability, and cost.



What Youll Do

Deploy and manage LLMs and deep learning models using vLLM, Triton Inference Server, and custom API endpoints.

Build and maintain GPU-aware autoscaling clusters using AWS EKS, Karpenter, and KEDA, optimizing for cost-efficiency and performance.

Develop CI/CD pipelines using Jenkins and GitHub Actions to automate ML model delivery and application deployments.

Orchestrate training, fine-tuning, and inference jobs on AWS SageMaker and ClearML, with support for experiment tracking, versioning, and reproducibility.

Support backend teams in deploying app artifacts and runtime environments; implement rollback and release strategies.

Integrate observability tooling (e.g., Prometheus, Grafana, ELK, or OpenTelemetry) for both infrastructure and model performance.

Collaborate with SREs to enforce high availability, disaster recovery, and incident response procedures for mission-critical AI services.

We are hiring a Staff Data AI Lead to lead our AI initiatives.
As a Staff Data AI Lead you will be responsible for leading our organization's AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.
What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers.

Our Creative-AI squad is half traditional post-production excellence, half zero-code tool builders. We need someone who can craft gorgeous GenAI images & videos, wire up no-code automations, and guide projects from whiteboard to launch.
As a Creative AI Specialist, you will be the driving force behind our AI initiatives, leading our internal marketing-creative team in leveraging AI for project enhancement and workflow optimization. Your expertise will also contribute to the AI education of our team, ensuring they remain at the forefront of AI advancements in the creative industry.
What you will be doing
Own ComfyUI pipelinesbuild image & video workflows in ComfyUI with Stable Diffusion, Flux; fine-tune and train LoRAs.
Provide internal automation solutions and creative platforms using zero-code tools and AI IDEs (Cursor, v0.dev, Base44, etc.), connect API endpoints (OpenAI, Gemini, Claude, fal.ai, Replicate)
Lead end-to-end project management and collaborate with Marketing & Salesgather requirements, align stakeholders, track progress, run feedback loops, and ensure deliverables meet business KPIs.
Research & QA internal GenAI modelsevaluate and troubleshoot models like LTX Video, raising quality bars for brand safety and polish.
Collaborate with Marketing to create AI-generated videos, visuals, and walkthroughs tailored for platforms like Reddit and Discord, supporting education, engagement, and product awareness.

Following the success of LTX-Video, our widely adopted open-source text-to-video model, we are expanding our efforts to develop cutting-edge video generation models and are hiring Research Scientists to join our LTX-Video Core team.
At our company, weve been at the forefront of innovation in text-to-image and text-to-video generation, with LTX-Video driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.
This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.
What you will be doing
Pre-train and fine-tune video and image generative models to pursue state of the art results.
Publish papers and open-source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficiency in training and inference phases.
Build new controls and capabilities into generative text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the field of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.