לוח משרות דרושים הייטק AI משרה מלאה

Your tasks will involve writing adversarial prompts to identify weaknesses in various cutting-edge AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, Multi-Modal models, AI Agents and beyond. You’ll also manage and analyze datasets to ensure the generation of high-quality outputs and actionable insights that contribute to AI safety research. Key Responsibilities
* Design adversarial prompts to test AI systems across multiple modalities.
* Identify, categorize, and document model weaknesses or unsafe outputs.
* Support data annotation, curation, and quality control processes.
* Summarize findings into structured reports or data templates.

About the position As a Red Team Specialist focused on Generative AI Models, you will play a critical role in enhancing the security and integrity of our cutting-edge AI technologies. Your primary responsibility will be to conduct analysis and testing of our generative AI systems, including but not limited to language models, image generation models, and any related infrastructure. Your objective is to help clients secure their AI models and frameworks by identifying weaknesses, assessing risks, and providing clear steps for improvement.
Key Responsibilities:
* Simulated Cyber Attacks: Conduct sophisticated and comprehensive simulated attacks on generative AI models and their operating environments to uncover vulnerabilities.
* Vulnerability Assessment: Evaluate the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
* Risk Analysis: Perform thorough risk analysis to determine the impact of identified vulnerabilities and prioritize mitigation efforts.
* Mitigation Strategies: Collaborate with development and security teams to develop effective strategies to mitigate identified risks and enhance model resilience.
* Research and Innovation: Stay abreast of the latest trends and developments in AI security, ethical hacking, and cyber threats. Apply innovative testing methodologies to ensure cutting-edge security practices.
* Documentation and Reporting: Maintain detailed documentation of all red team activities, findings, and recommendations. Prepare and present reports to senior management and relevant stakeholders.

When leading companies choose our company Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use our company Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales our companys by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to our company Cloud products.
As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate our company Cloud to our customers. You will help prospective and existing customers and partners understand the power of our company Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on our company Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply the impact of the team as a whole.

our Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Share in-depth AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to our company Cloud.
Work directly with our company Cloud products to demonstrate and prototype integrations in customer and partner environments.

We are building AI solutions that will shape the future of our company. As part of the Network Security Management Products area, our team is the focal point for AI innovations. We lead the design and development of AI features that power and influence products across the entire area.
We are looking for an AI Developer who is excited to design, build, and improve AI solutions. This is your chance to work with the latest AI tools, shape new features, and make a meaningful impact on how AI is used in our companys network security management products.
Key Responsibilities
Develop AI solutions and features that enhance our companys network security management products.
Design, integrate, and maintain AI technologies and services across multiple products.
Build and improve AI tools, agents, and capabilities that support many products.
Collaborate with teams across the organization to deliver AI-powered innovation.

Were looking for an experienced Senior Windows Agent Tech Lead to join our GenAI Protect Core Platform team building the foundation of our companys next-generation AI Security platform.
Youll design and evolve deep OS-integrated protection technology that enables real-time, intent-aware defense for modern AI and data-driven environments.
AI Security, Redefined: Develop protection logic and system instrumentation that safeguard the new generation of GenAI workloads.
Engineering at Depth: Work close to the OS and hardware layers, delivering low-latency, resilient protection services.
Cross-Disciplinary Impact: Collaborate with AI, backend, and data platform teams to make protection autonomous, adaptive, and intelligent.
Trusted Scale: Operate with startup speed and creativity, backed by our companys global leadership in cybersecurity.
Key Responsibilities
Own design and development of Windows agent components proxy, drivers, MCP, protocols, installer.
Build resilient, secure, and high-performance agent infrastructure.
Implement anti-tampering, hooking, and secure communication mechanisms.
Collaborate closely with backend and AI teams to enable adaptive, intent-aware telemetry.
Conduct design reviews, mentoring, and deep performance tuning.

Were looking for a Senior AI Security Architect to join our GenAI Protect Core Platform team - leading the design of our companys next-generation AI Security architecture.
Youll define the foundation for secure, scalable, and trustworthy AI systems that power real-time protection across GenAI and data-driven environments.
Key Responsibilities
Define the end-to-end AI architecture, from agent telemetry to inference and protection enforcement.
Design APIs and interfaces connecting agents, management, and GenAI services.
Partner with threat research and product teams to turn protection intent into ML-driven capabilities.
Establish best practices for AI safety, privacy, and secure design.
Review designs across all product teams (Windows, Mac, Backend, GenAI).
Mentor senior engineers and lead design reviews for high-impact systems.

Were looking for an experienced Senior Mac Agent Tech Lead to join our GenAI Protect Core Platform team building the foundation of our companys next-generation AI Security platform.
Youll design and evolve deep OS-integrated protection technology that enables real-time, intent-aware defense for modern AI and data-driven environments.
AI Security, Redefined: Develop protection logic and system instrumentation that safeguard the new generation of GenAI workloads.
Engineering at Depth: Work close to the OS and hardware layers, delivering low-latency, resilient protection services.
Cross-Disciplinary Impact: Collaborate with AI, backend, and data platform teams to make protection autonomous, adaptive, and intelligent.
Trusted Scale: Operate with startup speed and creativity, backed by our companys global leadership in cybersecurity.
Key Responsibilities
Lead development of macOS agent components proxy, MCP, kernel/system extensions, and installers.
Design advanced telemetry and behavioral hooks to support AI-driven insights.
Ensure parity and interoperability with the Windows agent platform.
Implement anti-tampering and secure communication layers.
Set architectural standards and mentor engineers across cross-platform efforts.

Harmony SASE is building the next generation of secure access services enabling organizations to connect users, sites, and applications safely and seamlessly from anywhere.
As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation building the internal platforms and tools that empower our engineers to design, test, and deliver faster, smarter, and more securely.
Youll work hands-on with Generative AI frameworks and agents, developing the systems and integrations that change the way our engineering teams work.
Key Responsibilities
Design and build AI-driven internal tools that enhance developer productivity.
Develop and maintain the infrastructure supporting GenAI agents and automation frameworks.
Prototype and experiment rapidly, turning ideas into practical solutions.
Collaborate with DevOps, backend, and product engineers to identify and implement high-impact GenAI use cases.
Evaluate new Generative AI and agent-based technologies and integrate the most promising ones into production.
Define and track efficiency metrics to continuously improve developer velocity and experience.

As part of the GenAI Protect group at our company, youll join a pioneering team building cutting-edge security solutions for the new world of AI-driven workflows, and protect organizations from risks introduced by generative AI tools across browsers, desktops, and managed control points.
Youll play a critical role in designing and scaling the cloud infrastructure that powers GenAI Protect, ensuring reliability, performance, and secure operations at scale.
This position is ideal for an experienced DevOps engineer who thrives in fast-paced, innovation-driven environments and wants to shape our companys next-generation security platform.
Key Responsibilities
Design, implement, and maintain CI/CD pipelines across multiple teams.
Architect secure, scalable infrastructure on AWS (EKS, ECS, EC2, RDS, CloudFront, IAM).
Automate provisioning using Terraform, CloudFormation, and GitOps.
Implement observability, logging, and alerting best practices (Prometheus, CloudWatch, ELK).
Drive reliability, scalability, and cost efficiency across environments.
Mentor engineers and establish DevOps culture and practices.

The AI Transformation Architect plays a central role in driving our companys enterprise-wide AI transformation. Reporting to the VP of AI Transformation, this role defines and builds the technical and architectural foundations that power our AI-driven software organization.
The Architect leads the design and implementation of scalable Generative AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives
Accelerate AI Transformation across the SDLC by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.

Were looking for a hands-on, tech-savvy team member to help manage and improve our Customer Care AI chatbot. You'll maintain the chatbot, enhance workflows and prompts, monitor performance, and work closely with cross-functional teams to deliver a smooth, optimized experience for both users and agents.

What am I going to do?:

* Maintain and manage the AI chatbot instructional conversations
* Optimize workflows and prompts to improve deflection rate and CSAT
* Manage and monitor AI agent behaviors and logic
* Monitor and analyze conversations and chatbot performance metrics
* Collaborate with customer-facing and product teams to align AI behavior with business goals
* Stay ahead of the curve with the latest in AI, automation, and chatbot best practices
* Maintain clear and up-to-date technical documentation

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is 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, Fiverr will provide accommodation to individuals with disabilities or a special need.