דרושים » AI » Staff Data & AI Architect

We're looking for a strategic, "big picture" thinker who thrives on cross-functional impact, bridge business goals and quality deliverables, drives technical strategy, and influences engineering excellence across the organization. If you're passionate about designing scalable and resilient systems, mentoring senior technologists, and setting and leading long-term technical direction, this role is for you.

What You'll Do
Define the Technical Blueprint: Youll play the primary role in defining our long-term technical vision and architectural roadmap. You'll lead strategic engineering initiatives, apply research to solve complex system-wide challenges, and translate business goals into a robust, scalable technical strategy.

Design for Scale & Resilience: Design and document high-level, cross-system architectural patterns and solutions. Ensure all our platforms (web, mobile, and backend) are built for scalability, reliability, security, and maintainability.

Enable engineering excellence: Work closely with Engineering Managers, Tech Leads, and Product Managers to set and enforce engineering standards, best practices, and design patterns across all engineering teams. You will lead critical architectural design reviews and ensure solutions align with the strategic vision.

Mentor and and lead by Influence: Mentor and guide Tech Leads and Senior Engineers, fostering a culture of technical excellence and innovation. You will act as a key technical advisor to leadership, communicating complex concepts and decisions clearly to both technical and non-technical stakeholders.

Build for the future: Help create an AI-driven culture, continuously evaluate emerging technologies, tools, and trends. You'll prototype and create PoCs to de-risk new technology adoption and identify opportunities to enhance system performance and reduce technical debt.

Champion Non-Functional Requirements: Define and own the standards for production readiness, system monitoring, infrastructure strategy, disaster recovery, and overall system robustness.

Enable productivity: Collaborate with DevOps and QA to ensure strong CI/CD, observability, and security foundations. Drive architecture reviews, POCs, and technical documentation.

We are looking for an AI Engineer to play a central role in building, evaluating, and advancing our companys AI models. You will own and evolve our companys benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Own & Evolve Benchmarking - Design, build, and maintain our companys benchmarking suite for foundation models and multimodal AI systems.
Define Core Abstractions - Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
Develop Metrics & Evaluations - Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
Support Model Development - Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
Bring in New Models & Baselines - Add external and internal models to benchmarks and ensure meaningful comparisons.
Explore Data When Needed - Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
Enable Rigor & Reproducibility - Ensure evaluations are consistent, well-versioned, and trustworthy over time.

As the Product Manager for the AI models of core product offering, you will be responsible for defining and driving its product strategy, requirements, roadmap and delivery.

The product focuses on addressing real-world challenges in drug development by leveraging AI foundation models and multi-omic data to map and predict human immune response.

You will be working closely with our team of Data Scientists, Computational Biologists, Deep Learning Researchers and Engineers.

Location: Ramat Gan, Israel (Hybrid model)

What will you do?

Set the long-term vision and strategy for AI models, ensuring alignment with company goals.
Define product requirements and build a clear, prioritized roadmap for model development and delivery.
Lead benchmarking efforts to evaluate model performance against internal baselines and external best-in-class models.
Collaborate with AI research, data science, engineering, and biologists to translate scientific advances into scalable product capabilities.
Oversee the end-to-end lifecycle of AI models, including data strategy, training priorities, evaluation criteria, releases, and post-deployment monitoring.
Identify, validate, and prioritize high-impact use cases where improved model capabilities create meaningful business or scientific value.
Communicate strategy, progress, and key decisions to leadership and cross-functional stakeholders to drive alignment.

We are looking for a Principal Architect who combines deep technical mastery with product sensibility, business understanding, and organizational insight. This is a senior individual-contributor role with broad influence and high visibility across engineering, product, and leadership.
You will shape the architecture of our platform across multiple domains, drive strategic technical decisions, and partner with cross-functional leaders to align architectural direction with product, business, and organizational goals.
You are not just a technologist - you are a systems thinker who understands how technology enables outcomes, how teams and organizations scale, and how product strategy and technical strategy intersect.

We are looking for a driven and experienced leader to manage a growing interdisciplinary team of LLM Agentic AI Researchers, Computational Biologists, and Immunologists. This teams mission is to build a cutting-edge agentic reasoning system powered by Large Language Models (LLMs), capable of generating structured, biologically grounded sequential explanations based on predictions from proprietary foundation model-trained on hundreds of millions of immune cells. The product the team builds is a pillar of AI strategy, with the potential to redefine the way a drugs mode of action is understood.

Location: Ramat Gan, Israel (hybrid model)

What You'll Do:

Set the Vision - Collaborate with product leadership to transform bold ideas into AI capabilities that impact real-world medical decisions.
Build and Lead the Team - Coach, build and inspire a high-caliber team across LLMs, data science, and Immunology. Cultivate a culture of excellence, curiosity, and execution.
Drive Innovation - Lead from the front-design architectures, write prototypes, and guide technical direction. Lead the team in building agents that reason about biological systems at scale.
Ship Transformative Products - Deliver AI products & solutions that move the needle and its partners - from static biological associations to dynamic, explanatory models of causality.
Showcase Leadership - Represent the team in top-tier scientific conferences and publications, communicating groundbreaking research to the world.

we are at the forefront of developing autonomous driving systems with leading oems, by integrating mobileye state-of-the-art ecus into various vehicles. we are seeking a Embedded systems software architect to own the technical direction of our Embedded software platforms. this role combines hands-on development, system architecture, and technical leadership, guiding a team of Embedded engineers while ensuring high-quality, scalable, and reliable software across current and future products. you will act as the technical authority for Embedded software, working closely with hardware, systems, and product stakeholders to translate requirements into robust software solutions. what will your job look like?
lead the technical direction and architecture of Embedded software platforms across middleware and application layers.
serve as the technical authority for Embedded software, combining hands-on C / C ++ development with system -level ownership.
design scalable, modular software architectures and define clear interfaces between hardware, os services, middleware, and application software.
drive key technical decisions, architectural trade-offs, and long-term roadmap.
develop and integrate middleware and application-layer components, including multi-threaded and Real-Time logic.
lead design reviews, mentor Embedded software engineers, and promote high coding and architectural standards.
take ownership of complex system -level debugging, performance optimization, and software quality.
work closely with os, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

We are looking for a Senior Applied AI Researcher to design, evaluate, and deploy AI systems that operate over complex security data and workflows.
This role focuses on building reliable agent-based systems, developing semantic representations of security data, and enabling AI systems to reason across structured and unstructured sources. The work spans research, experimentation, and productionization.
You will work on problems such as relational discovery, schema alignment, semantic modeling, and graph-based retrieval, and turn promising approaches into real systems used by security teams.
What Youll Do
Design and build AI systems for security analysis and automation.
Develop methods for relational discovery, schema matching, and semantic modeling across heterogeneous security data.
Design and run evaluation and benchmarking frameworks for models, agents, and end-to-end systems.
Experiment with agent architectures, tools, and orchestration strategies.
Investigate system behavior, analyze failure modes, and improve system reliability.
Collaborate with engineering teams to bring research prototypes into production systems.

Were looking for a hands-on, entrepreneurial Team Lead to take full ownership of Ollys knowledge systems and build one of the most critical pillars of the product.
Responsibilities:
Technical and managerial leadership of the Knowledge team
Designing and building production-grade knowledge systems at scale
Making architectural decisions and tradeoffs
(LLMs vs embeddings vs heuristics, online vs offline computation, cost vs latency)
Driving research, experimentation, and innovation around what knowledge means for AI Agents
Hiring, interviewing, mentoring, and growing the team
Working closely with Agent, Platform, and Product teams

Were looking for a highly technical and visionary Team Lead to join our Backend department and spearhead our Agentic Pen Tests initiative. This is a high-impact role where youll merge AI innovation with advanced Cybersecurity, working with cross-functional teams to shape the future of OX

What Youll Be Doing

Lead and scale a global backend team dedicated to developing cutting-edge Agentic Pen Testing capabilities.
Architect and build robust, scalable systems using Node.js to support autonomous security agents.
Collaborate closely with Product, R&D, and customers to define the roadmap for this new, innovative domain.
Drive technical excellence by setting high standards for code quality, security, and AI integration.
Foster a collaborative environment that encourages proactive problem-solving and rapid innovation in the AI-Cyber space.
AI-First Mentality: Integrate AI tools and workflows into the daily development lifecycle (e.g., AI-assisted coding, automated testing, and prompt-driven prototyping) to act as a force multiplier for the team.

as an Agentic Pentest Director. Leading the development of agentic AI-driven penetration testing capabilities, focused on enabling autonomous security validation across modern software applications and infrastructure.

What Youll Be Doing

Become a company leader in the new product pillars that fall under your scope
Build a high-performing core engineering group by hiring top talent and fostering a culture of excellence, ownership, and collaboration
Drive the planning, execution, and delivery of key projects that impact the foundation of our product
Collaborate closely with product, architecture, security, product marketing, and other engineering teams to align technical vision and execution
Mentor and develop engineers, providing guidance and support for their growth
Help us continuously improve by bringing strategic thinking, hands-on leadership, and an agile mindset