לוח משרות דרושים Gen AI Engineer

We are looking for a forward-thinking Data Scientist with a passion for Generative AI (GenAI) and emerging AI technologies. This role is ideal for those who thrive in rapid prototyping, proof-of-concept (PoC) development, and iterative experimentation. You will work across multiple projects, transforming innovative ideas into practical AI solutions while engaging with clients for feedback and improvement.
Responsibilities
Generative AI Innovation & Research: Design PoCs with LLMs, RAG, RL, and agent-based AI. Apply emerging AI methods to real-world business needs.
Prototyping & Implementation: Translate research into scalable prototypes and production solutions. Ensure models are efficient, adaptable, and enterprise-ready. Lead integration, A/B testing, and phased rollouts.
AI Engineering & Deployment: Architect scalable GenAI solutions for banking. Own the full lifecycle: deployment, monitoring, incident response. Build dashboards, detect model drift, and integrate feedback loops.

In one sentence
Join our companys GenAI & Data innovation hub as a hands-on technical leader driving the design and development of next-generation AI systems. Youll translate ambitious ideas into robust architectures, lead experimentation with cutting-edge AI tools, and help bring breakthrough concepts from prototype to production - all within a fast-moving, startup-style team inside a global enterprise.
What will your job look like?
Own the technical design and architecture of advanced GenAI systems and multi-agent frameworks across multiple innovation streams.
Work side-by-side with product innovators and data scientists to evaluate new GenAI technologies, APIs, and frameworks - translating potential into practical solutions.
Design and build prototypes and PoCs, validating technical feasibility, scalability, and business impact.
Drive best practices in model orchestration, vector storage, context management, and retrieval-augmented generation (RAG).
Collaborate with internal R&D and engineering groups to transition successful innovations into production-grade architectures.
Evaluate external technologies and startups for potential integration or partnership, contributing to build-vs-buy decisions.
Mentor and guide other engineers and AI specialists, fostering a culture of curiosity, technical excellence, and experimentation.
Operate with a startup mentality - agile, resourceful, and comfortable with fast pivots and evolving priorities.

In one sentence
Join our companys newly established GenAI & Data unit and act as the entrepreneur-in-residence driving the companys AI innovation agenda.
Youll identify bold opportunities, validate disruptive ideas, and turn cutting-edge GenAI technologies into scalable, high-impact business solutions - operating with startup agility inside a global enterprise.
What will your job look like?
Lead the GenAI innovation engine across our company- scouting, experimenting, and scaling ideas that redefine experiences
Operate with a startup mindset inside a large organization: move fast, stay lean, and deliver tangible outcomes with creativity and resourcefulness.
Identify and validate disruptive technologies, from AI automation to intelligent data platforms and agentic systems.
Shape the innovation strategy, translating trends into actionable pilots, proofs of concept, and scalable business applications.
Get hands-on with technology - evaluating architectures and emerging technologies to assess feasibility and differentiation.
Build and lead a small, high-impact innovation team of AI engineers, data scientists, product innovators, and designers.
Foster a culture of curiosity, experimentation, and continuous learning, encouraging rapid iteration and evidence-based decisions.
Collaborate closely with product, R&D, and business units to align innovation with strategic objectives and market opportunities.
Establish and manage partnerships with startups, partners, VCs, and academia to bring external innovation into our company.
Communicate and inspire: present ideas, vision, and results clearly to executives, partners, and global audiences.
Represent our company externally as a thought leader in GenAI innovation, sharing insights and building the companys global visibility.

We are looking for a visionary and deeply technical Chief Architect for Data, AI & GenAI Platforms to drive the architecture, tooling, and long-term technological direction of our enterprise data and GAI products and initiatives. This is a foundational leadership role that sits at the intersection of hands-on system design, cross-functional enablement, and long-term strategic innovation.
You will serve as the chief architect and technology strategist across all data, AI, and GenAI efforts-owning the blueprint that powers intelligent products, agent-based experiences, and scalable platforms. Your work will influence product design, platform infrastructure, governance models, and the broader technical ecosystem we operate in.
We are seeking someone with deep, hands-on experience building large-scale, production-grade data and AI systems-combined with the ability to mentor teams, influence engineering leaders, and partner with product and business leadership to deliver enterprise-scale transformation.
Key Responsibilities
Define and own the technology vision, architecture, and evolution roadmap for all data, ML/AI, and GenAI systems across the organization.
Lead the architectural design and hands-on guidance of scalable data pipelines, real-time analytics, AI agent platforms, model hosting infrastructure, and enterprise knowledge frameworks.
Oversee and connect multiple AI and data-related initiatives, including LLM agents, vector databases, RAG pipelines, MLOps, and enterprise data lakes-ensuring coherence, reusability, and security.
Establish and enforce technical standards, patterns, and tooling across teams to ensure high-quality engineering, model performance, and platform scalability.
Partner with product, engineering, and business leaders to align technology strategy with product goals, business outcomes, and customer needs.
Guide the evaluation and adoption of emerging technologies including open-source GenAI frameworks, fine-tuning platforms, orchestration tools, and scalable cloud-native architectures.
Mentor and support principal engineers, data scientists, platform leads, and architects-creating a culture of technical excellence, experimentation, and ownership.
Champion data quality, model explainability, AI governance, and responsible AI practices across the entire lifecycle.
Serve as a senior thought leader internally and externally-representing the company in technical forums, conferences, and customer engagements when needed.

We are building the Windows agent that powers GenAI Protect, flagship initiative to secure AI workflows across endpoints, browsers, and SaaS. In this role you will help define how AI and security intersect at the OS level and solve problems no one has solved before. If you want to work on technology that sits on the critical path of how people and machines use GenAI every day, this is where you want to be.



Key Responsibilities
Own the Windows protection layer: design and implement the core proxy, hooks, and anti-tampering mechanisms for GenAI agents.
Collaborate with Mac, Cloud, and Security Engine teams to build unified multi-platform behavior analysis.
Design IDE and developer environment integrations to monitor and protect AI-driven code flows.
Deliver production-ready, high-performance agent components with deep OS-level visibility.
Influence architecture decisions, threat models, and agent-core evolution.

We work with modern cloud-native architectures, large language models (LLMs), multimodal AI, autonomous agents, and advanced analytics platforms to solve complex business challenges. As part of our companys Technology Consulting practice, we collaborate closely with clients, engineers, data specialists, and business stakeholders to translate emerging technologies into scalable, production-grade solutions.
Role Overview
We are looking for a Data & AI Project Manager to lead the delivery of AI and Generative AI-based solutions for our clients. In this role, you will own projects end-to-end - from initial scoping and requirements definition through development, deployment, and continuous improvement.
This role is well-suited for a technically oriented project or product manager who enjoys working at the intersection of data, AI, engineering, and business, and who thrives in fast-paced, complex environments.
Responsibilities
Lead the full lifecycle of AI and data projects, from ideation and design through implementation, deployment, and ongoing optimization.
Translate business and user needs into clear system requirements, technical specifications, and structured delivery plans.
Define project scope, priorities, milestones, and deliverables, ensuring execution on time, within scope, and within budget.
Collaborate closely with development, data, and infrastructure teams to support efficient delivery and resolve technical dependencies.
Drive alignment between technical solutions and business objectives, ensuring delivered solutions generate tangible client value.
Manage multiple stakeholders on both client and internal sides, maintaining clear communication and expectations.
Support the design of intuitive, user-centered AI solutions and workflows.
Identify risks, manage trade-offs, and proactively address challenges throughout the project lifecycle.

We are seeking an experienced Generative AI Engineer to join our AI squad at our company. This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field.
Key Responsibilities
GenAI Development & Implementation
End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability
Continuous Learning & Innovation
Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment.

As an AI Architect, you will own the end-to-end design of our AI-driven protection stack, from agent telemetry to inference and enforcement. You will set the standards for secure and scalable AI architecture, influence product direction, and mentor senior engineers. If you want to lead the intersection of AI, security, and system design, this is where you want to be.

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.

We are seeking a passionate Generative AI Builder to join our Engineering team and work directly with our development teams to accelerate the adoption of GenAI tools and establish best practices.
Reporting to the VP R&D you will be embedded within our development organization to drive hands-on implementation, create effective workflows, and empower developers to leverage cutting-edge AI capabilities in their daily work.
What youll do:
Direct Developer Support & Enablement
Work side-by-side with development teams to implement and optimize GenAI tools in real-world projects
Provide hands-on guidance for integrating AI coding assistants, code generation tools, and automation workflows
Troubleshoot implementation challenges and help teams overcome adoption barriers
Tool Implementation & Workflow Design
Evaluate and pilot new GenAI development tools across different technology stacks
Design and document standardized workflows for common development tasks using AI assistance
Create custom integrations and configurations tailored to our specific development environment
Process Development & Optimization
Establish GenAI coding standards, guidelines, and quality assurance processes
Design efficient workflows that maximize developer productivity while maintaining code quality
Develop feedback mechanisms to improve AI-assisted development practices continuously
Training & Knowledge Transfer
Conduct hands-on workshops and training sessions on GenAI tools and techniques
Create practical tutorials, code examples, and documentation for immediate developer use
Mentor development teams on advanced prompt engineering and AI-assisted coding strategies
Innovation & Experimentation
Stay current with emerging GenAI tools and evaluate their potential impact on development workflows
Run proof-of-concept projects to test new AI capabilities and use cases
Share insights and learnings with the broader engineering organization