דרושים » תוכנה » AI Security Engineer

we are looking for a AI Security Engineer.
As AI capabilities accelerate across the bank, we need an engineer to design and enforce safe AI usage-protecting customer data, preserving model integrity, and meeting our regulatory obligations. You'll be the architect of guardrails, tooling, and policies that make AI both secure and useful for product and internal teams. This isn't about slowing things down; it's about building the trust layer that lets innovation move fast without breaking things.
What Youll Actually Be Doing:
Design enterprise AI guardrails across Azure and AWS (e.g., Azure AI Studio/Azure OpenAI, Amazon Bedrock/SageMaker): content filtering, PII redaction, prompt/response validation, and policy enforcement services.
Implement data minimization controls for GenAI/RAG workloads: context filtering, least‐privileged retrieval, document-level ACL enforcement, vector store hardening, and secure token/secret handling.
Threat model AI systems (apps, agents, RAG, fine-tuning pipelines) using frameworks like STRIDE and the OWASP Top 10 for LLM Apps; define misuse scenarios (prompt injection/jailbreaks/data exfiltration) and build mitigations.
Build monitoring and telemetry: privacy-preserving prompt/response logging, sensitive-data detection, safety/eval dashboards, drift/abuse signals, and incident hooks into our SIEM.
Integrate AI security into the SDLC: reusable libraries, pre-commit checks, CI/CD gates, policy-as-code, and secure-by-default reference architectures for product teams.
Evaluate third‑party AI vendors and internal apps: security reviews, data residency and retention requirements, SSO/SCIM integrations, DPA/TPRM inputs, and continuous control testing.
Partner across Security, Data, Privacy, and Engineering to map AI controls to FFIEC, SOC 2, and PCI DSS; document control evidence for audits.
Lead/participate in AI red‑teaming: automated jailbreak/prompt‑injection tests, safety benchmarks, purple‑team exercises, and response playbooks for AI incidents.
Enable the org with concise guidelines, examples, and training on safe AI development and usage.

We are At our company, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
This role focuses on ensuring the security and compliance of cloud infrastructure by implementing and maintaining robust security controls across AWS environments. The position involves automation for security monitoring, adhering to best practices, and collaborating cross-functionally with other teams.
Who You Are:
A strong individual contributor who takes pride in delivering high-quality security outcomes while collaborating closely with peers and stakeholders. You are able to build trust, provide thoughtful input, and continuously grow your technical and operational expertise. You are passionate about exploring new technology and using it to make an actionable impact to the future of fintech. You can balance the needs of the business and the team's goals with strong value for code quality and adherence to implementing best practices. A highly skilled AWS Security Engineer with additional FinOps expertise to ensure the security and compliance of our cloud infrastructure. You are able to implement and maintain robust security controls across AWS environment. You are passionate about best practices, automation for security monitoring, and collaborating with other teams.
What Youll Actually Be Doing:

* Cloud Security Implementation: Contribute to the design and implementation of security measures across AWS environments to ensure systems are secure, compliant, and aligned with industry best practices. Including implementation, automation and development of security policies
* Conduct regular security assessments, control testing, and audits to proactively identify risks and vulnerabilities (and support remediation efforts with partner teams)
* Collaboration with Internal Teams: Work closely with internal teams to integrate security best practices into development and operational workflows
* Security Automation & Infrastructure Management: Design and implement automation strategies for security monitoring, auditing, and incident response
* Cost Efficiency through Security: Contribute to cloud cost management by optimizing cloud resources without compromising on security.
* Incident Response & Threat Management: Participate in incident response efforts to support timely identification, analysis, containment, and remediation of security threats. Contribute to post-incident reviews, help maintain incident response playbooks, and support internal teams by sharing learnings and updated procedures.

Why Youll Love Working Here:


* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement - from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first

We are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. .

The Role:
As the Security Engineering Operations Assistant, you'll be the organizational backbone for the VP, Security Engineering—ensuring requests move forward, deadlines stay visible, and nothing gets lost in the shuffle. This isn't about being an admin; it's about being the force multiplier that lets security leadership focus on strategy and technical priorities while you keep the machine running smoothly. If you're the person who naturally keeps lists, follows up before being asked, and gets satisfaction from bringing order to chaos—this role was made for you.

Who You Are:
You're the person everyone relies on to remember the thing that was supposed to happen last Tuesday. You've got 2–5 years of experience in technical coordination, support roles, or security/IT/engineering operations environments, and you know how to work alongside technical teams without needing your hand held. You're exceptionally organized—not in a "my desk is clean" way, but in a "nothing falls through the cracks" way. You communicate clearly in writing and conversation, you're comfortable working closely with senior leadership, and you handle sensitive information with discretion. You're not intimidated by technical discussions—even if you're not the one configuring the firewall, you can follow along, capture the key decisions, and know what questions to ask to make sure everyone's aligned on next steps. You're proactive, dependable, and genuinely curious about how things work.

What You’ll Actually Be Doing:
Direct Support to Security Engineering Leadership
* Assist the VP, Security Engineering with tracking requests, action items, and follow-ups arising from meetings, emails, and discussions
* Maintain organized lists of open items, next steps, and pending decisions
* Perform routine follow-ups with internal teams and external vendors on behalf of Security Engineering
* Help ensure deadlines and commitments are visible and monitored
* Surface overdue items or risks that may require attention Coordination & Task Tracking
* Support coordination of security engineering activities across Security, IT, Engineering, GRC, and external partners
* Track progress of assigned tasks and initiatives using established tools and processes
* Assist in scheduling, preparation, and follow-up for security-related meetings
* Help organize priorities and timelines across multiple parallel efforts Technical Awareness & Documentation
* Maintain familiarity with core security engineering domains, including: Identity and Access Management, Endpoint and device management, Cloud security basics (AWS and Azure), Security tooling and operational workflows
* Capture key outcomes, decisions, and action items from technical discussions
* Maintain documentation, trackers, and status updates
* Ask clarifying questions to ensure expectations and next steps are understood Communication & Information Flow
* Support intake and coordination of inbound requests to the Security Engineering team
* Prepare clear summaries and status updates as needed
* Help ensure relevant information is shared with appropriate stakeholders
* Support prioritization discussions by maintaining visibility into current workload and commitments


Why You’ll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement – from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insuranc

Were seeking a Senior Application Security Engineer who is first and foremost a teacher, advisor, and enabler for our development teams.
Rather than owning security alone, youll embed secure-by-design thinking across engineering by mentoring developers, guiding architecture decisions, and making secure development intuitive and frictionless.
Youll serve as the go-to partner for developers and engineering leaders, offering clear direction, practical solutions, and hands-on mentorship that strengthens our secure SDLC.
What Youll Actually Be Doing:
Mentor, coach, and educate developers on secure coding through workshops, training sessions, pair reviews, and ongoing guidance
Lead and scale a Security Champions program embedded within engineering teams
Facilitate threat modeling sessions and design reviews, partnering with teams early in the process to improve security outcomes
Collaborate with engineering leadership to ensure secure architecture patterns, API security practices, and design principles are built in from day one
Integrate and tune developer-friendly AppSec guardrails into CI/CD pipelines (SAST, SCA, IaC, secret scanning) while minimizing noise for developers
Translate vulnerabilities into clear, actionable remediation guidance that developers can easily implement
Support security awareness across engineering by building engaging internal content, best-practice playbooks, and reusable patterns
Partner with compliance teams to produce documentation and SDLC evidence supporting FFIEC, PCI DSS, and SOC 2 requirements
Stay current on emerging threats, developer tooling, and secure engineering patterns - sharing insights regularly with the team

We are looking for a backend engineer who can design, build, and operate highly reliable Node.js services on AWS that enable generative‑AI capabilities across our products and internal workflows.
You will create scalable APIs, data pipelines, and serverless architectures that integrate large‑language‑model (LLM) services such as Amazon Bedrock, OpenAI, and open‑source models, enabling teams to safely and efficiently leverage generative AI.
What Youll Actually Be Doing
Design and implement REST/GraphQL APIs in Node.js/TypeScript to serve generative‑AI features such as chat, summarization, and content generation.
Build and maintain AWS‑native architectures using Lambda, API Gateway, ECS/Fargate, DynamoDB, S3, and Step Functions.
Integrate and orchestrate LLM services (Amazon Bedrock, OpenAI, self‑hosted models) and vector databases (Amazon Aurora pgvector, Pinecone, Chroma) to power Retrieval‑Augmented Generation (RAG) pipelines.
Create secure, observable, and cost‑efficient infrastructure as code (CDK/Terraform) and automate CI/CD with GitHub Actions or AWS CodePipeline.
Implement monitoring, tracing, and logging (CloudWatch, X‑Ray, OpenTelemetry) to track latency, cost, and output quality of AI endpoints.
Collaborate with ML engineers, product managers, and front‑end teams in agile sprints; participate in design reviews and knowledge‑sharing sessions.
Establish best practices for prompt engineering, model evaluation, and data governance to ensure responsible AI usage.

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, audio, 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-audio and text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficient training and inference.
Build new controls and capabilities into generative text-to-audio and text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the fields 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.

The team focuses on art direction, prompt architecture, and technical experimentation, bridging the gap between creative design and AI tool development inside LTX Studio platform.

Its responsibilities include feature development, testing generative models, building LLM-driven systems for visual generation, and defining visual presets, using the team creative background to bring out-of-the-box thinking and artistic perspective to technical features and innovation.

What you will be doing
Own visual quality and creative evaluation across image or video domains within LTX Studio
Lead AI Evaluation & AI Creation efforts - testing new generative models, benchmarking outputs, identifying strengths and limitations
Build POCs using AI coding tools and vibe coding methodologies
Translate innovation ideas into demos, workflows, and product features (0→1 ownership)
Develop and refine prompt engineering systems, including prompt enhancement logic and structured generation rules
Improve and iterate on existing product features related to visual generation
Collaborate closely with PMs, developers, researchers, and cross-functional teams
Participate in feature ideation and bring creative-first thinking into technical product discussions
Help define visual presets, output standards, and quality benchmarks
Continuously explore emerging tools, models, and techniques in the AI creator ecosystem

This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.

Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/GPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.
Design, maintain, and evolve a high-quality, shared codebase that emphasizes correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance requirements.

We are seeking a researcher to join the LTX Model Applications team, focusing on advancing and extending the capabilities of our LTX-Video models. You will design and explore new use cases, train novel ways to control the generation process, and push the boundaries of generative video technology. Your work will directly influence millions of users through our apps and contribute to the broader research and open-source communities, shaping the next generation of creative tools.

What you will be doing
Advance and extend the capabilities of our LTX-Video models through new controls, features, and use cases.
Design and implement machine learning models for video, image, and audio generation, as well as multimodal applications.
Conduct experiments, prototype concepts, and validate ideas to expand generative video technology.
Collaborate with engineers, designers, and product managers to translate research into impactful product features.
Regularly open-source code, models, and research insights, contributing to the academic and open-source communities.
Stay at the forefront of generative AI research in video, image, and audio, and bring relevant advances into our products.
Write high-quality, efficient code and maintain best practices in research workflows.
Mentor other researchers and lead collaborative projects.

Were looking for a Creative AI Solutions Specialist to join our AI Lab - a cross-functional group driving innovation, experimentation, and advanced AI capabilities across .

This role sits at the intersection of creative technology, product, and applied AI. Youll work on cutting-edge LTX-2 workflows, prototype new capabilities, help bring AI solutions to market, and act as a domain expert supporting teams across the company - from Product and Design to Sales and Business Development.

Success in this role requires strong ownership, curiosity, technical depth, and a passion for pushing creative AI forward.

What you will be doing
Build AI-driven creative workflows, PoCs, and production-ready pipelines (with a strong focus on LTX-2)
Experiment with generative AI to unlock new creative capabilities and solve high-end production challenges
Create workflows and custom LoRAs to showcase capabilities to clients and design partners
Partner with Business Development and major studios, providing technical demos and pipeline integration guidance
Act as a trusted technical advisor for clients and internal teams
Collaborate with Product, Research, Design, and Creative teams to turn innovation into impactful features
Own the ideation and exploration of new creative and AI-driven capabilities, driving initiatives from concept and research to tangible prototypes and production impact