לוח משרות דרושים הייטק AI , לחיפוש זה נמצאו 264 משרות

We are looking for a Senior Software Architect to lead the architecture and technical execution of 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 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 Aqua 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 Aqua products.

קצת על התפקיד
סמכות טכנולוגית והנדסית חטיבתית וארגונית בתחומי AI ו‑GenAI לרבות טיפוח מוקדי ידע, פיתוח יכולות מתקדמות וקידום חדשנות.
ביצוע והטמעה של מחקרי וטכנולוגיות AI לשמירה של התחרותיות הגבוהה של חברתנו בזירה הגלובלית.
שותפות ביישום אסטרטגיית AI ארגונית, כולל תכנון רבשנתי של מו"פ AI ו-GenAI, זיהוי מגמות, תשתיות עתידיות ומוקדי הידע.
הובלת חדשנות באמצעות הקמה, ליווי והרחבת מיזמי AI במערכות אוטונומיות טילאות ובקרה, ראייה ממוחשבת ומערכות משולבות טכנולוגיות agentic ai.
עבודה בשותפות מלאה עם החטיבות העסקיות, הטכנולוגיות והמו"פ, לרבות מחקר ופיתוח פתרונות מותאמים לצרכים מבצעיים.
הנחיה וייעוץ טכני לפרויקטים, הובלת בדיקות היתכנות והגדרת דרישות.
קידום שיתופי פעולה עם האקדמיה, סטארטאפים ומאיצים טכנולוגיים, כולל מיפוי חוקרים, בחינת טכנולוגיות, אימוץ פתרונות והובלת חדשנות בתיאום עם אגף המו"פ.
הנחיה והכוונה של מוקדי הידע בנושאיAI . הקמת פורומים מקצועיים, תמיכה בניהול קרן AI ועידוד תרבות חדשנות ויזמות.
השתתפות בפרויקטים אסטרטגיים ומורכבים הדורשים מומחיות AI .
ייצוג חברתנו בכנסים, סמינרים ומפגשים עם לקוחות ושותפים בארץ ובחו"ל.

Were looking for an AI Builder to serve as the technical backbone of Nomas internal AI function. Youll build the LLM-powered agents, automation pipelines, integrations, and infrastructure that teams across the company rely on every day.

This is a rare opportunity to build a new function from the ground up within a company where the work can have an immediate and meaningful impact. Youll create systems such as tools that help Sales track competitive deals in real time, pipelines that automatically turn customer calls into Salesforce updates, and agents that identify competitor activity and deliver actionable insights directly to Slack.

This is a highly hands-on role with true end-to-end ownership-from translating business needs into focused technical solutions to deploying, monitoring, and continuously improving production systems.

What Youll Do:

Build AI-Powered Agents and Automations
Design and build LLM-powered agents, automation pipelines, and backend services used across the organization.
Develop complex integrations that bring together data from multiple internal and external systems.
Build custom MCP servers and other infrastructure required to support scalable internal AI workflows.
Turn fuzzy business needs into practical, focused, and maintainable technical solutions.

Own the Internal AI Infrastructure
Harden and maintain Nomas existing MCP Gateway ecosystem.
Improve reliability, error handling, authentication, secrets management, and versioning.
Implement secure, vault-based credential management and strong security practices across production automations.
Build infrastructure that enables agents and workflows to operate reliably at scale.

Drive Production Readiness and Reliability
Own the deployment, monitoring, maintenance, and reliability of agents and automations in production.
Build evaluation frameworks, test sets, and monitoring processes to measure accuracy, precision, recall, hallucination rates, and overall agent performance.
Identify regressions and continuously improve the quality and stability of production workflows.
Troubleshoot failures across integrations, mod