דרושים » תוכנה » חטיבת ה AI בהראל מגייסת Lead Data Architect!

about the company:
the company is an ai-driven platform company focused on improving drug discovery and development by decoding the human immune system.
we combine large-scale single cell immune data, advanced Machine Learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process.
our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. were building this platform thoughtfully and collaboratively, bringing together expertise across biology, ai, engineering, and business.
the company is an equal opportunity employer. we celebrate diversity and are committed to creating an inclusive environment for all employees.
about the role:
we are looking for an experienced data infrastructure team lead to lead our data infrastructure team. in this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves Big Data and analytics infrastructure. you will be responsible for team delivery, combining technical depth, agile leadership, and an ai-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.
location: ramat gan (bursa area), israel - hybrid model
what will you do?
lead, manage, and develop a data infrastructure team of approximately 5-7 people.
take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
lead agile ways of working, including scrum-based delivery practices.
guide the design, productionization, and ongoing improvement of Big Data and analytics infrastructure.
partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
help the team adopt ai-first engineering practices, including automation and ai-assisted development workflows.
drive improvements in team processes, technical quality, delivery predictability, and collaboration.
support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
create an environment where team members can grow, contribute, and improve together.

we are a global leader in cloud-native security, helping organizations secure modern applications across containers, kubernetes, cloud, and on-premises environments.
as ai transforms how organizations build, operate, and secure software, the company is investing in the next generation of intelligent security products, including ai-powered experiences, assistants, and autonomous and semi-autonomous agents.
we are looking for a Senior Software Architect to lead the architecture and technical execution of the company's ai products and shared ai capabilities.
this is a strategic and hands-on role for an architect who combines strong backend and distributed-systems expertise with practical experience in data platforms, cloud architecture, web technologies, and ai systems.
you will own the technical architecture from early concepts and proofs of concept through production delivery and operation. you will work closely with engineers, product managers, security researchers, and architects to turn emerging ai capabilities into secure, scalable, reliable, and maintainable products across saas and on-premises deployments.
the successful candidate will provide hands-on technical leadership, help engineers resolve complex design and implementation decisions, and ensure that the architecture supports product quality, operational simplicity, and long-term evolution.
what you will own
define and drive the architecture of the company's ai-powered products and shared ai capabilities across saas and on-premises deployments.
design scalable backend services, apis, data pipelines, data models, and Storage solutions for ai and security workloads.
lead architectural decisions across data ingestion, processing, retrieval, model integration, ai orchestration, and product integration.
work closely with engineers throughout design and implementation, helping resolve complex technical decisions, trade-offs, and delivery challenges.
provide hands-on technical leadership from early concepts and proofs of concept through production delivery and operation.
design systems with clear controls for scalability, backpressure, bounded resource usage, resilience, data integrity, recovery, and observability.
ensure solutions meet enterprise requirements for security, isolation, permissions, auditability, sensitive- data handling, and on-premises operation.
define patterns for integrating ai models, retrieval systems, tools, workflows, and deterministic product capabilities.
design ai-enabled workflows with quality, latency, cost, failure handling, model limitations, and operational complexity in mind.
support the architecture and development of web-based ai experiences and their integration with backend services and the company product workflows.
evaluate technologies and conduct proofs of concept to validate feasibility, performance, scalability, security, and operational fit.
define and document architecture standards, technical guidelines, and reusable patterns for the ai team.
review system designs and critical implementations, and mentor engineers on architecture, backend development, data systems, and production readiness.
collaborate with product and engineering to balance customer value, delivery speed, technical risk, and long-term maintainability.
partner with other architecture and platform teams to reuse existing capabilities and maintain alignment across the company products.