דרושים » הנדסה » AI Architect

Were hiring a Senior Architect to shape our end-to-end architecture across domains, services, APIs, cloud infrastructure, and platform foundations - while guiding how AI and automation integrate into our systems.

You will lead high-impact architectural initiatives that shape the future of our products and platforms. Youll tackle complex, company-wide challenges such as redefining service boundaries and domain models for scale, transitioning legacy flows into modern cloud-native and event-driven architectures, and establishing shared platform components that accelerate development across teams. You will also define secure, scalable patterns for AI-driven workflows and integrations, influencing the technical direction of us and enabling the next generation of product capabilities.

This is a high-impact role influencing how we build, scale, and deliver software across the entire company.

Responsibilities:
Own the architecture across our platforms, services, and domains.
Define standards for microservices, APIs, integrations, domain boundaries, reliability, and data flows.
Lead high-level solution design across multiple business and technical areas.
Own AWS architecture: scalability, resilience, networking, security, observability, and cost optimization.
Drive architecture reviews and cross-company engineering decisions.
Guide our approach to AI integration (ADLC), defining patterns and architectural guardrails.
Evaluate and integrate emerging technologies with meaningful business impact.
Build and evolve the Engineering Platform (templates, paved roads, tooling, SDKs, inner-source foundations).
Collaborate across R&D, Product, DevOps, Security, BI, Marketing, and Sales.
Mentor senior engineers and promote best practices.

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 the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. our ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. job description
we are looking for a senior product owner to join our cora (generative) ai group. we build ai agents, frameworks and shared infrastructure that power genai capabilities across the company, enabling our product lines to adopt agentic workflows safely, reliably, and at scale.
as the groups senior product owner, you will bridge the gap between emerging ai technologies and production-grade reality. you will own the roadmap for embedding agentic ai solutions across the company, balancing product impact with long-term architectural excellence. collaborating closely with product managers and engineering, you will define how agent-based intelligence can best serve our diverse product lines, while driving the development of both shared infrastructure and bespoke agentic solutions throughout the entire lifecycle - from ideation and implementation to deployment and evaluation. your goal is to gradually build a platform that empowers every product to adopt ai safely, reliably, and at scale. enable the ecosystem: treat other product teams as your customers. deeply understand their product landscapes to ensure our ai platform is flexible enough to support their unique functional needs while maintaining its robustness and architectural integrity.
architect the agentic roadmap: translate high-level product and engineering vision (the why & how) into a concrete plan (the what & when) - forming a prioritized backlog of actionable epics, user stories, and functional specifications that guide the r&d team towards building the platform.
strategic liaison: serve as the primary authority for stakeholders outside the development group, providing deep clarity on platform capabilities, framework logic, and how architectural changes will impact the broader product ecosystem. tactical orchestration: partner daily with r&d to steer the development process - supporting sprint planning, refinement, and high-quality delivery, resolving functional ambiguities, adapting the plan to Real-Time technical/product insights, and ensuring the team maintains high velocity while staying aligned with the strategic vision.
champion iterative value: foster continuous feedback loops between stakeholders and technical teams to enable rapid iteration and deliver meaningful value. qualifications

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. learn more. job description
we are looking for a senior ai software engineer to join our generative ai foundation team. we build ai agents and shared infrastructure that power genai capabilities across the company, enabling product lines to adopt agentic workflows safely, reliably, and at scale.
in this role, youll be involved in the full software lifecycle - from fast-moving prototypes and pocs to production-grade, observable systems. youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
youll work hands-on with leading llms and the modern agentic ecosystem, leveraging a wide range of aws services. youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops

Required Staff Software Engineer, AI
Company Overview
We are the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join the team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities:
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits

We are looking for an experienced Software Architect with a strong SaaS background to lead architecture within the Assets (DAM) domain.

This role combines deep domain ownership with organization-wide architectural responsibility. You will be part of the Assets R&D group, reporting directly to the group manager, working closely with product and engineering teams, and at the same time a member of the Architecture Team, collaborating with other domain architects under the leadership of the Chief Architect.

You will define and drive the architectural vision of the Assets domain while ensuring alignment with broader system architecture, platform standards, and long-term technical strategy.

What Youll Do - Domain Architecture
Own and evolve the architectural vision and long-term roadmap for the Assets domain.
Define domain boundaries, core services, and major technical decisions.
Ensure the system supports scale, availability, multi-tenancy, security, compliance, and operational excellence.
Establish architectural standards and guardrails across teams.
Cross-Organization Leadership
Represent the Assets domain in the Architecture Team and contribute to company-wide architectural decisions.
Ensure alignment and interoperability with other domains.
Contribute to cross-cutting concerns such as reliability, security, observability, and cost efficiency.
Mentor senior engineers and elevate architectural practices within the group.
How Youll Work
Be embedded in the Assets group while aligned with the Architecture Team.
Engage early in strategic and planning discussions to shape direction.
Promote clear documentation of trade-offs and rationale.
Act as an enabler who helps teams move fast with strong architectural foundations.

we are the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. our ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. job description
as QA architect, you will be collaborating with an individual saas development team, that uses the latest technologies in continuous delivery to secure the top enterprises in the world. you will serve as the QA architect in the r&d team, committed to the quality of the released content and define QA work procedures, guidelines, and design the entire testing process. comprehensive understanding of the product's functionality, target use cases, and the value it delivers to customers. develop and maintain expertise in the creation and deployment of fully integrated environments define, implement, and manage QA processes, including the specification of required TEST plans and procedures. actively track the teams tasks, conduct testing of features during development to ensure adherence to specifications and quality standards. perform efficient log analysis and reproduce customer issues quickly to facilitate timely resolution. analyze and challenge existing testing coverage implement automation tests for new features and coverage gaps maintain and prioritize backlogs of open issues and bugs, ensuring effective tracking and resolution. monitor the TEST and production environments, using DevOps tools

We are seeking a talented and experienced Software/System Architect to join our dynamic team.
As a System Architect, you will play a crucial role in designing and implementing robust, scalable, and efficient solutions. You will work closely with cross-functional teams, analyze requirements, design solutions and offer technical guidance, ensuring successful development and integration of the end-to-end solution.
Responsibilities:
Design high-availability, fault-tolerant, and scalable distributed systems using microservices, event-driven patterns, and best-practice architectural principles.
Analyze and understand business requirements to create system specifications.
Lead design reviews, evaluate technical proposals, and validate architecture compliance across teams.
Define and maintain system architecture diagrams, including component, sequence and data flow diagrams.
Collaborate with development teams to guide the implementation of the solution
Ensure alignment of technical solutions with business goals and industry best practices.
Oversee system integration, troubleshoot issues, and provide architecture support as needed.
Conduct regular system reviews to identify areas for improvement and optimization.
Collaborate effectively with multiple stakeholders such as product management, professional services, sales, development and production support.

We are seeking an R&D Lead to lead the development for Agentic Commerce, a brand new product. The product focuses on owning the visual and semantic layer that AI agents rely on to understand, rank, and present products. We are a small, fast-moving, and highly independent team with full end-to-end ownership. The opportunity ahead is large: the front door of commerce is shifting from websites to AI agents, and merchants must adapt to be discovered, selected, and converted inside agent-driven experiences.
Responsibilities
Lead and be accountable for all development efforts, with a co-founder / CTO-level mindset
Co-lead the pod alongside the GM as a true counterpart
Build a deep understanding of how AI agents consume product data, media, and signals, and how merchants win selection and conversion in this new paradigm
Starting as a solo developer, you will be responsible for designing and shipping an AI-native product, growing a team when needed
Leverage platform to get to market quickly, building only what meaningfully advances learning and traction
Continuously adjust technical direction as agent behaviors, protocols, and market assumptions evolve

Were looking for a highly skilled AI Engineer to join our Forensic Research Group and help shape the next generation of intelligent forensic platforms.
Youll work at the intersection of Generative AI, agentic systems, and real-world data, building advanced capabilities for both internal tools and production systems that transform how complex data is analyzed and understood.
Using state-of-the-art models and emerging AI paradigms, youll design systems that move beyond traditional pipelines into autonomous, adaptive workflows.
Youll help define the future of agentic decoding - where AI doesnt just assist, but actively reason, explore, and uncover critical evidence, impacting millions of cases worldwide.
If youre excited about building impactful AI systems and solving complex, messy problems, this role is for you.
What Youll Do:
Design and build AI-driven and agentic solutions to parse, analyze, and interpret data from forensic extractions (including mobile devices)
Develop GenAI-powered capabilities for understanding, structuring, and reasoning over unstructured data
Combine LLMs, multi-agent systems, and heuristic approaches to improve data identification, classification, and insight generation
Build autonomous and semi-autonomous pipelines that transform manual and brittle workflows into scalable, intelligent systems
Work with real-world, noisy datasets to uncover patterns, anomalies, and meaningful structures
Collaborate closely with forensic researchers and engineers to translate domain expertise into AI-native solutions
Influence system architecture, tooling, and the evolution of internal AI platforms and agent frameworks
Evaluate, fine-tune, and integrate state-of-the-art models (LLMs, multimodal models, etc.) for complex real-world problems.