לוח משרות דרושים AI Engineer משרה מלאה

we are a global leader in AI-powered IT Service Management (ITSM), building smart platforms that automate IT support and help organizations work faster and smarter. Our solutions are trusted by thousands worldwide, making complex tasks simple so IT teams can focus on what matters most.
Were seeking a tech-savvy Product Manager to lead one of our cross-functional squads. In this role, you will drive the development and success of our product, shaping solutions that enhance efficiency and automation for IT teams worldwide.
As the Product Manager, you will own the product vision and roadmap, turning complex challenges into intuitive, impactful solutions. Youll collaborate with engineering, design, and business stakeholders to deliver innovative features that empower thousands of global customers and shape the future of AI-powered IT Service Management.
Responsibilities
Lead a cross-functional squad to own and deliver AI-driven product initiatives end-to-end, from discovery to launch and adoption.
Stay at the forefront of AI technology and trends, bringing innovative capabilities into our companys product in a practical, customer-focused way.
Partner closely with Product Design to deliver best-in-class AI experiences that are intuitive, trustworthy, and drive adoption.
Define and prioritize product requirements by combining user feedback, market trends, data insights, and stakeholder input.
Drive data-driven decision making by defining success metrics and using product analytics to evaluate impact, adoption, and customer value.
Monitor and continuously improve AI performance over time, including quality, accuracy, latency, reliability, and user trust, ensuring consistent value at scale.
Collaborate with internal teams (engineering, analytics, customer revenue, and marketing) to ensure successful execution and alignment with business goals.

Required AI Platform Engineer
Position Overview:
We're assembling a small-scale team of innovators committed to a transformative mission: advancing generative AI from conceptual breakthrough to tangible product reality. As an AI Platfrom Engineer, you will be a critical architect of the technological infrastructure that brings our most ambitious GenAI concepts to life, transforming our digital intelligence solutions through cutting-edge AI innovation.
Build advanced AI platform that operates both as a cloud SaaS and as a fully self-contained on-prem / edge deployment, designed for privacy-sensitive and security-critical environments, at the intersection of backend development, AI integration, DevOps, and open-source systems engineering.
You will be part of the core team responsible for adapting, hardening, and operating our SaaS architecture in on-prem and single-node environments (on Prem servers, laptops). Working closely with architecture and product management and play a key role in making complex AI systems deployable, reliable, and operable outside the cloud.
Key Responsibilities
Platform & Application Engineering:
Adapt cloud-native AI services to on-prem and edge deployments (single node, no managed cloud services).
Build and maintain full-stack components: Backend APIs (Python / Node.js), Lightweight UIs or internal tools when needed, Ensure services are stateless, configurable, and portable across environments.
AI & Open-Source Integration:
Integrate and operate open-source LLMs for:
RAG pipelines
Agentic workflows
Tool calling and orchestration
Work with: Embedding models, Vector databases (local and embedded modes), Analytical engines (e.g., embedded SQL / columnar systems), Optimize inference for CPU / single-GPU environments (quantization, batching, caching).
DevOps & Runtime Engineering (Strong Focus):
Package services into portable Docker containers usable in:
On-prem servers (Kubernetes)
laptop / edge devices
Implement in-process scaling strategies (worker pools, task queues, batching).
Build simple, reliable deployment and startup flows (no heavy orchestration).
Manage configuration, secrets, logging, and observability in constrained environments.
Systems & Reliability:
Design for: Offline operation, Limited resources, Predictable performance
Implement graceful degradation between: SaaS mode, On-prem server mode, Single-node / laptop device mode, Debug complex interactions across AI models, storage, and runtime systems.

We are looking for a talented and driven developer to join our Research Engineering team and contribute to the development of scalable, cloud-native AI solutions on AWS. This role focuses on building and maintaining infrastructure and services that support advanced machine learning workflows, real-time inference, and robust observability.
You will research and build data-driven applications. Research and develop Machine Learning algorithms to turn forensic data into investigation leads, evidence, and intelligence insights. Be a part of a heterogeneous, multi-disciplinary research team. Take projects end to end, from the inception of the idea, through data and algorithm research and POC development. The work is both analytical and experimental in nature and includes prototyping of new algorithms, investigating data, and evaluating algorithm performance.
Responsibilities:
Design and implement features for our AWS-based AI solution, including job orchestration, manifest generation, and API integrations.
Develop and maintain CI/CD pipelines using GitHub Actions, CDK, and AWS infrastructure (e.g., SageMaker, Lambda, Bedrock).
Ensure code quality and reliability through comprehensive unit testing, performance testing, and observability enhancements.
Collaborate with cross-functional teams to integrate AI services into broader investigation workflows and runtime environments.
Troubleshoot deployment issues and contribute to the continuous improvement of dashboards and monitoring tools.

Required AI Engineer
About The Position
Company Overview:
We are a global leader in digital intelligence solutions, empowering law enforcement, intelligence agencies, and enterprises to protect and save lives, accelerate justice, and make communities safer.
Our AI-powered Digital Intelligence Platform enables lawful access, collection, analysis, and sharing of digital evidence, while preserving data privacy and ensuring compliance.
Our solutions are trusted by thousands of agencies and organizations worldwide, across cloud, on-premises, and hybrid deployments.
Position Overview:
The Forensic Research Group (FRG) is seeking a highly skilled AI Engineer to help define the future of intelligent forensic research platforms.In this role, you will lead the design and integration of advanced AI capabilities into a large-scale, production-grade environment, working closely with core engineering and research teams.
You will contribute to unifying internal tools and workflows into a cohesive, AI-driven ecosystem that significantly enhances developer and researcher productivity.You will also drive the evolution of automation and analysis pipelines, replacing brittle processes with robust, scalable, and intelligent solutions.
A key part of the role involves exploring complex datasets, evaluating models, and applying generative AI and heuristic approaches to uncover, structure, and interpret digital artifacts.This position offers the opportunity to work on challenging problems at the intersection of AI, systems engineering, and data analysis, with real influence over architecture, tooling, and research direction.
If you are motivated by building high-impact AI systems, solving non-trivial technical problems, and enabling teams to operate at a higher level, this role provides a unique opportunity to make a lasting impact in a mission-driven domain.
Key Responsibilities:
Develop and implement AI solutions to parse and analyze data from forensic extractions, including mobile devices.
Design, build, test, and maintain efficient, reusable, and reliable C# .NET code with integration to cloud services in AWS.
Utilize heuristic-based methods and GenAI technologies to enhance data identification and classification.
Research, explore data, assess, and implement the best models to solve various forensic research problems.
Collaborate with other professionals across the company, combining AI, Forensic Research, and Engineering expertise.
Translate forensic research methods into AI algorithms and innovation suggestions.

As a member of the company Cloud team, you inspire leading companies, schools, and government agencies to work smarter with our companytools like our company Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing whats right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for our company products, you help spread the magic of our company to organizations around the world.
As an AI Sales Specialist Specialist, you will be responsible for growing our AI business by building and expanding relationships with new and existing customers. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply the impact of the team. You will partner with the internal company Cloud Platform (GCP) sales teams to grow their AI businesses and drive overall value for GCP.
our company 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
Calibrate the business against the objectives and key results. Forecast and report the state of the business for the territory.
Build and maintain executive relationships with customers as the AI Subject Matter Expert, influence long-term strategic direction for the new and existing customers as well as the company Cloud Field Sales Representatives (FSRs) and Customer Engineers (CEs).
Assist customers in identifying AI use cases suitable for our company Cloud AI products and solutions. Articulate key solution differentiators and the measurable business impact.
Develop and execute strategic account plans, including a broader enterprise plan across key verticals.
Work with our company Account and Technical teams to develop and drive pipelines, and provide expertise. Execute Go-To-Market (GTM) business plays and related efforts with the cloud teams and GCP partners.

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'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:
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.
Who You Are:
You're a security engineer who's excited about the AI wave-someone who sees GenAI and LLMs as fascinating puzzles to secure, not just threats to mitigate. You've spent 5+ years in Security Engineering, AppSec, or Cloud Security, and at least 1-2 of those years have been spent getting your hands dirty with AI/ML or data -intensive systems. You're equally comfortable dissecting a prompt injection attack as you are writing a Terraform module or shipping a Python library. You know your way around AWS and/or Azure, modern app stacks ( Python /TypeScript, REST/gRPC, containers/Kubernetes), and can translate security requirements into Developer -friendly tooling-not just PDF policies that gather dust. You communicate clearly in English and Hebrew, thrive in regulated environments, and understand that security in financial services means mapping controls to frameworks like FFIEC, SOC 2, and PCI DSS-and actually having the evidence to prove it.
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, leastprivileged 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 thirdparty 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 redteaming: automated jailbreak/promptinjection tests, safety benchmarks, purpleteam exercises, and response playbooks for AI incidents.
* Enable the org with concise guidelines, examples, and training on safe AI development and usage.

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
Next Step:
Hit Apply!