דרושים » AI » AI Solutions Architect

We are hiring someone to lead product level and internal team AI end-to-end: from protocol and architecture decisions to server-side implementation to the AI logic that decides when and how our tools are used, to internal processes that improve R&D and product development efficiency. This is a hands-on position with managerial aspects, not an advisory role. You will be building hands on in parallel to building the process and managing/guiding the team.

What You Will be Doing
Own the strategy and roadmap for C2As AI strategy within R&D and AI agents specifically,
Lead the AI adoption effort technically within the product and across the organization as the company learns how to become more efficient with AI usage for R&D.
Design and build MCP servers that expose our APIs as well-described, reliably usable tools for AI clients.
Build the AI decision layer - the prompting, tool schemas, and agentic logic that let a model select the right API, pass the right parameters, and recover gracefully from errors.
Implement complete, production-grade features end to end: backend services, data models, APIs, and the AI integration on top, not prototypes.
Define how AI-accessible APIs are scoped, authenticated, and permissioned, so an agent can only ever do what it is authorized to do. Security is the product, this matters.
Build evaluation and observability for the AI layer: measure tool-selection accuracy, catch regressions, and trace agent behavior in production.
Set engineering standards and mentor others as the effort grows into a team.
Implement new features required by our cybersecurity product.

We're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
As AI capabilities accelerate across the bank, we need an engineer to design and enforce safe AI usage-protecting customer data, preserving model integrity, and meeting our regulatory obligations. You'll be the architect of guardrails, tooling, and policies that make AI both secure and useful for product and internal teams. This isn't about slowing things down; it's about building the trust layer that lets innovation move fast without breaking things.
Who You Are:
You're a security engineer who's excited about the AI wave-someone who sees LLMs and Agentic AI as fascinating puzzles to secure, not just threats to mitigate. You've spent 5+ years in Security Engineering, AppSec, or Cloud Security, and at least 1-2 of those years have been spent getting your hands dirty with LLMs, AI Agents and MCPs. You understand how agentic frameworks (LangGraph, CrewAI, AutoGen, and similar) orchestrate multi-step tool use-and where trust boundaries break down. You've assessed or secured AI-powered coding agents (Claude Code, GitHub Copilot, Cursor) and understand the unique risks of AI with filesystem, terminal, and API access in Developer environments. You're equally comfortable dissecting a prompt injection attack as you are writing a Terraform module or shipping a Python library. You know your way around AWS and/or Azure, modern app stacks ( Python /TypeScript, REST/gRPC, containers/Kubernetes), and can translate security requirements into Developer -friendly tooling-not just PDF policies that gather dust. You communicate clearly in English and Hebrew, thrive in regulated environments, and understand that security in financial services means mapping controls to frameworks like FFIEC, SOC 2, and PCI DSS-and actually having the evidence to prove it.
What Youll Actually Be Doing:
* Design enterprise AI guardrails across Azure and AWS (e.g., Azure AI Studio/Azure OpenAI, Amazon Bedrock/SageMaker): content filtering, PII redaction, prompt/response validation, and policy enforcement services.
* Assess and define secure usage patterns and data governance controls for agentic frameworks and coding agents: permission scoping, tool-call authorization, leastprivileged retrieval, session isolation, and MCP server governance.
* Threat model AI systems (apps, agents, MCPs, RAG, fine-tuning pipelines) using frameworks like STRIDE and the OWASP Top 10 for LLM Apps; define misuse scenarios (prompt injection/context poisoning/jailbreaks/ data exfiltration) and build mitigations.
* Build monitoring and telemetry: privacy-preserving prompt/response logging, sensitive- data detection, safety/eval dashboards, drift/abuse signals, and incident hooks into our SIEM.
* Integrate AI security into the SDLC: reusable libraries, pre-commit checks, CI/CD gates, policy-as-code, and secure-by-default reference architectures for product teams.
* Evaluate thirdparty AI vendors and internal apps: security reviews, data residency and retention requirements, SSO/SCIM integrations, DPA/TPRM inputs, and continuous control testing.
* Partner across Security, data, Privacy, and Engineering to map AI controls to FFIEC, SOC 2, and PCI DSS; document control evidence for audits.
* Lead/participate in AI redteaming: automated jailbreak/promptinjection tests, safety benchmarks, purpleteam exercises, and response playbooks for AI incidents.
* Enable the org with concise guidelines, examples, and training on safe AI development and usage.
 
Why Youll Love Working Here:
* Flexible hybrid.

We are looking for an Applied AI Engineer to join the MECI Interfaces team within the Software Engineering organization. The MECI Group enables our algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow us to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and developer well-being.
As an Applied AI Engineer, you will be at the forefront of integrating Large Language Models (LLMs) and agentic workflows into our internal platforms. Your primary goal will be to solve complex problems across the Software Development Life Cycle (SDLC) by building intuitive, AI-powered tools that directly support our developers and internal users. This role offers the unique opportunity to both expand the intelligence of our existing developer tools and architect entirely new workflows from the ground up in a highly technical, fast-paced environment.
What will your job look like?
Design, develop, and deploy AI-driven internal tools and agentic workflows that accelerate the SDLC and reduce friction for our developers.
Expand the capabilities of existing platforms by embedding smart, context-aware LLM features.
Identify high-impact bottlenecks across the engineering organization and build zero-to-one AI solutions to solve them.
Architect robust orchestration layers around LLMs, focusing on practical implementations of custom system "skills," tool calling, Model Context Protocol (MCP) integrations, memory management, and Retrieval-Augmented Generation (RAG).
Maintain a framework-agnostic approach, rapidly evaluating and adopting the most effective AI models, APIs, and open-source techniques as the landscape evolves.

Required Cloud Architect
Description
As a Cloud Architect, you will be responsible for designing, leading, and delivering cloud and on-prem management platforms. Your expertise in interfaces, components, and design patterns will be essential in building high-scale platforms and ensuring technical synchronization across all R&D functions. You will work in intensive collaboration with multidisciplinary interfaces and teams to drive innovation and deliver optimal solutions.
The role:
Design, lead, and deliver cloud and on-prem management platforms.
Specialize in interfaces, components, and design patterns.
Lead and perform proof-of-concepts (POCs) for new concepts and approaches.
Build high-scale platforms to meet business requirements.
Technically synchronize all R&D functions to create a complete and coherent solution.
Collaborate intensively with multidisciplinary interfaces and teams.

We are looking for a passionate and experienced System Architect to lead the definition and evolution of validation methodologies for complex multidisciplinary systems. In this role, you will combine deep system-level understanding with extensive validation expertise to drive platform validation strategies, identify technical risks, influence architectural decisions, and ensure the quality, robustness, and reliability of our products throughout the development lifecycle.
What will your job look like?
Develop a deep understanding of the system architecture and its implementation across all platform features and domains.
Define, own, and drive feature-level and platform-level validation strategies, leveraging positive, negative, boundary, fault-injection, robustness, integration, and architectural validation methodologies to ensure comprehensive system verification and risk mitigation.
Derive and define platform-level validation requirements, methodologies, coverage models, validation criteria, and acceptance criteria that complement and extend existing system requirements.
Identify validation gaps, testability challenges, architectural weaknesses, and technical risks early in the development lifecycle.
Review platform architecture and design decisions, providing validation-driven feedback to improve quality, reliability, robustness, and testability.
Influence architectural decisions through validation findings, root-cause investigations, technical analysis, and data-driven recommendations.
Lead root-cause analysis of complex system-level issues and drive resolution across multidisciplinary engineering teams.
Serve as the technical focal point for validation-related architectural discussions, methodologies, and best practices.
Collaborate closely with system architects, developers, and validation engineers to ensure validation considerations are integrated throughout the product development lifecycle.
Drive continuous improvement of validation methodologies, tools, processes, and coverage across the platform.

We are looking for a passionate and experienced System Validation Architect to lead the definition and evolution of validation methodologies for complex multidisciplinary systems. In this role, you will combine deep system-level understanding with extensive validation expertise to drive platform validation strategies, identify technical risks, influence architectural decisions, and ensure the quality, robustness, and reliability of our products throughout the development lifecycle.
What will your job look like?
Develop a deep understanding of the system architecture and its implementation across all platform features and domains.
Define, own, and drive feature-level and platform-level validation strategies, leveraging positive, negative, boundary, fault-injection, robustness, integration, and architectural validation methodologies to ensure comprehensive system verification and risk mitigation.
Derive and define platform-level validation requirements, methodologies, coverage models, validation criteria, and acceptance criteria that complement and extend existing system requirements.
Identify validation gaps, testability challenges, architectural weaknesses, and technical risks early in the development lifecycle.
Review platform architecture and design decisions, providing validation-driven feedback to improve quality, reliability, robustness, and testability.
Influence architectural decisions through validation findings, root-cause investigations, technical analysis, and data-driven recommendations.
Lead root-cause analysis of complex system-level issues and drive resolution across multidisciplinary engineering teams.
Serve as the technical focal point for validation-related architectural discussions, methodologies, and best practices.
Collaborate closely with system architects, developers, and validation engineers to ensure validation considerations are integrated throughout the product development lifecycle.
Drive continuous improvement of validation methodologies, tools, processes, and coverage across the platform.

The Platform Product Management team is looking for a highly driven, experienced, and dynamic Cybersecurity Product Manager, to join our team and help shape the future of ADAS and Autonomous Driving systems.
The team is leading Platform Products and Features Requirements and Execution, E2E, across all teams and across projects.
In this role, you will be involved in defining the product roadmap, and the product release planning, tracking the execution and helping in removing blockers, work with customers outside and inside, to ensure the TTM and quality are met.
What will your job look like?
Serve as a Technical solution architect/product manager for ADAS and Autonomous Vehicle SW features and platforms.
Work closely with the Autonomous vehicle Cybersecurity architects and ensure Cybersecurity is addressed through implementation, Validation to production.
Be a key person in planning and execution of Cybersecurity activities.
Work directly with our customers' Cybersecurity teams on their Cybersecurity requirements and deliverables.
Generate and maintain accurate and up-to-date requirement documentation for both internal and external stakeholders..
Lead and facilitate product and platforms cybersecurity related discussions with clients and technology managers.
Actively help improving processes across different teams.

Required Solution Architect for Embedded Autonomous Vehicle System
About the team:
Join a leader in autonomous driving technology, and shape the future of transportation.
As a Solution Architect, you'll be at the forefront of innovation, driving cutting-edge features from concept to commercialization.
** This role requires working from our Jerusalem site 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like?
Visionary Architect: Define the system architecture and derive comprehensive system and embedded software requirements that align with our hardware and software capabilities.
Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
Collaborative Leader: Work closely with software architects, developers and project managers to drive the product success.
Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered.
The Role:
Staff software engineer is our most senior individual-contributor role. You report to a VP of Engineering and act as the technical force multiplier across the several teams that VP owns through their Engineering Managers. Engineering Managers own people and delivery. You own the technical bar.
Who You Are:
You turn strategy into architecture, make the hard design and build-versus-buy calls, and keep decisions coherent across every team under the VP. You work in three modes: lead technical direction, help unblock and grow teams, and build the highest-risk pieces yourself. Hands-on. Not a manager. Your leverage is architecture, code, and the engineers you make better.
What Youll Actually Be Doing:
* Partner with the VP to translate business goals into cross-team technical strategy and clear architecture.
* Own the hard technical decisions: system design, service boundaries, data models, stack choices, and the tradeoffs behind them.
* Define the standards teams build against: coding, testing, security, observability, operational readiness.
* Drive alignment across Engineering Managers and their teams so independent decisions hold up at the platform level.
* Unblock teams on the hard problems: scale, latency, reliability, thorny integrations, production incidents.
* Take initiative without being asked: spot gaps, propose the fix, and drive it across teams before it becomes a problem.
* Actively grow and mentor engineers. Invest in their technical development, coach through hard problems, and build the next tier of senior talent.
* Prototype and ship the highest-leverage, highest-risk code yourself so teams inherit a proven path.
* Set the bar for quality, security, and compliance in a regulated, Real-Time financial environment.
Why Youll Love Working Here:
* Flexible hybrid model: 3 days a week in the office - A must
* 1,000 net monthly wellness benefit - from therapy to Pilates to your kids art class
* Full Keren Hishtalmut, private health & dental insurance
* Donation matching, volunteering days, team outings, and mentorship programs
* A mission-driven culture that values ownership, trust, and meaningful impact

Required Solution Architect for Embedded Autonomous Vehicle System
About the team:
Join us, a leader in autonomous driving technology, and shape the future of transportation.
As a Solution Architect, you'll be at the forefront of innovation, driving cutting-edge features from concept to commercialization.
** This role requires working from our Petah Tikva site 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like?
Visionary Architect: Define the system architecture and derive comprehensive system and embedded software requirements that align with our hardware and software capabilities.
Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
Collaborative Leader: Work closely with software architects, developers and project managers to drive the product success.
Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.