דרושים » AI » Principal AI Software Engineer (CORA AI)

As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling CyberArks product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

As a Senior Staff AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling our companys product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

Your Career:
As a Senior Staff AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling CyberArks product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

We are seeking an energetic and versatile Principal Software Engineer to join our elite team responsible for building our Identity Authentication platform. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. In this role, you will be a core technical authority using AWS architecture, AWS CDK, and .NET to design, develop, test, secure, and deploy high throughput, production ready cloud services from planning to production. Working in full collaboration with security architects, product managers, and cross functional development teams, you will produce complex and advanced SaaS services that satisfy demanding scalability, security standards, and Non-Functional Requirements (NFRs).
Your Impact:
Lead the architectural design and system implementation of cloud-native, distributed microservices using AWS and .NET following secure-by-design principles.
Practice all aspects of the software development lifecycle within an agile, continuous-delivery environment.
Spearhead research into modern cybersecurity mechanisms, evaluate emerging tech stacks, and pioneer cut-edge solutions to solve complex platform bottlenecks.
Drive engineering excellence through code reviews, design discussions, and active coaching to uplevel engineers across the team.
Participate in continuous and iterative engineering cycles with a heavy focus on code quality, testability, supportability, performance, and cost optimization.

We are looking for a Staff Security Engineer to be a core contributor on this team.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with our AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do
Build Security Capabilities:
Design and develop security tooling, automation, and platform services that operate at our enterprise scale.
Contribute code directly into our viceNow product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage our platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.

Are you a senior AI researcher who thrives at the intersection of cutting-edge computer vision and real-world impact? Do you combine deep research expertise with the engineering instincts to ship models that work in production? Join the Content team within our AI group, where youll lead applied research initiatives that transform how sports content is created and experienced.

This is an applied research role with a strong ownership mandate - youll drive the full research lifecycle from problem framing and experimental design through to production integration.

We are dedicated to revolutionizing sports production. Our AI-powered solutions automatically capture sports events and transform them into personalized content, turning key moments into engaging experiences for players, teams, and fans. As a Senior AI Research Scientist, you will have direct impact on the companys innovation roadmap, leading core AI capabilities that power our platform at scale.

As part of your role, you will:
Own the research lifecycle end-to-end: problem definition, literature review, experimental design, model development, evaluation, and production integration.
Design, implement, and evaluate state-of-the-art deep learning models for computer vision tasks including detection, tracking, event recognition, and temporal modeling in video.
Drive applied research projects with clear product impact - not just experimentation, but shipping models that run reliably in production.
Collaborate closely with ML engineers, infrastructure engineers, and QA to ensure smooth model integration and performance in real-world conditions.
Contribute to our research culture: present findings internally, propose new research directions, and stay at the forefront of computer vision and deep learning.
Influence architectural decisions around model design, data pipelines, and evaluation frameworks.

our company's Secrets Manager DevOps team consists of coders who enjoy a challenge and are responsible for planning, developing, and implementing our company Secrets Manager's infrastructure and application development life cycle.
The DevOps team collaborates with developers and works with PM to deliver new capabilities and continuously improve the services' robustness, availability, and quality.
We are looking for an outstanding DevOps Engineer with an "automation first" mindset who is passionate about continuous integration and continuous deployment methodologies and best practices, performance, stability, and security.
Responsibilities:
As part of your role, you will design, implement, and deploy products and infrastructures that will directly increase our stability and quality while reducing our time to market.
Have end-to-end ownership from individual development environments, SCM, Build/CI server, to our production system on AWS.
Design and manage Continuous Integration/Deployment Services (build, packaging and deployment)
Design, document, implement and maintain scripts to enhance current and future build and release processes
Incorporate new development projects into existing build structures
Continually evaluate tools and technologies to improve the overall release process.

CyberArk's Secrets Manager DevOps team consists of coders who enjoy a challenge and are responsible for planning, developing, and implementing CyberArk Secrets Manager's infrastructure and application development life cycle.
The DevOps team collaborates with developers and works with PM to deliver new capabilities and continuously improve the services' robustness, availability, and quality.
We are looking for an outstanding DevOps Engineer with an "automation first" mindset who is passionate about continuous integration and continuous deployment methodologies and best practices, performance, stability, and security.
Responsibilities:
As part of your role, you will design, implement, and deploy products and infrastructures that will directly increase our stability and quality while reducing our time to market.
Have end-to-end ownership from individual development environments, SCM, Build/CI server, to our production system on AWS.
Design and manage Continuous Integration/Deployment Services (build, packaging and deployment)
Design, document, implement and maintain scripts to enhance current and future build and release processes
Incorporate new development projects into existing build structures
Continually evaluate tools and technologies to improve the overall release process.

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

We're looking for a Senior AI Solutions Builder to join our Product team. In this role, you will design, build, and ship AI-powered solutions that enhance productivity and drive measurable business value across the organization.

You will operate at the intersection of AI, data, pricing and business - owning the end-to-end development of agents, copilots, and workflow automations that directly inform decisions and eliminate manual work.

You are both a builder and an enabler. You ship solutions yourself and raise the AI capability floor for the teams around you. You'll collaborate closely with Product, Engineering, CS, Sales, and builders across the company to deliver outcomes that improve decision velocity, product and operational efficiency, and long-term growth.

You Will

Design and ship AI-powered copilots, agents, and decision-support tools for the Product team, starting with Pricing.

Build data pipelines and analytical models for pricing intelligence.

Develop autonomous agents that automate recurring Product tasks.

Automate manual workflows across product tools so the right action happens when a signal fires.

Build LLM-based scoring models that give roadmap and prioritization decisions a data backbone.

Enable and upskill product teams through AI playbooks, sessions, and hands-on co-building.

Collaborate with builders across Engineering, CS, GTM, and other teams to co-create solutions that scale.

Define and track impact: time-to-insight, decision velocity, manual hours eliminated, and business outcomes.