דרושים » תוכנה » AI R&D Transformation Lead

Requirements:
4+ years software development experience
Experience with C# / .NET Core and JavaScript (with React and/or Angular)
Hands-on experience with modern AI dev tools (Claude Code (must) / Cursor / others)
Excellent soft skills (MUST): mentoring, influence, patience, and empathy
Experience working in large, multi-team R&D environments
Advantages
Major advantage- Using Claude Code actively, good familiarity with latest features
Major advantage - Mentoring and training experience
Experience with legacy system (in the financial sector)
Exposure to agentic AI development, AI workflows, or custom AI tooling
Experience defining or running dev tool enablement or training programs
Background in architecture or technical leadership roles
Experience with front-end development, preferably in Angular.

Requirements:
5+ years of hands-on backend development experience, preferably in Python, with the ability to leverage AI and work effectively across languages.
1+ years of experience leading and mentoring an engineering team.
Proven experience designing, building, and operating distributed, event-driven systems at scale in cloud environments, preferably AWS.
Hands-on experience with message queues and Pub/Sub architectures.
Experience leading architectural transformations, including the modernization of legacy or monolithic systems.
Proven experience designing and delivering new systems from scratch, from architecture through production.
Strong experience with relational and NoSQL databases, such as PostgreSQL, MongoDB, and DynamoDB.
Strong understanding of data consistency, transactional integrity, concurrency, and failure handling in complex systems.
Hands-on experience using AI tools and Coding Agents to accelerate development and improve engineering workflows.
Strong communication and stakeholder management skills, with the ability to collaborate effectively with Product, Data, and Business teams.
A growth mindset and a genuine passion for developing people and building a strong engineering culture.
Full professional proficiency in Hebrew and English.

Requirements:
Your Experience
3+ years experience working as a Program Manager in an R&D organization in a SaaS company.
Engineering degree
Workflow Automation & Integration: Hands-on experience configuring or building automated workflows using tools like Jira Automation, APIs, low-code/no-code integration platforms, or modern enterprise management ecosystems.
AI & LLM Fluency: Proven ability to leverage AI-first environments and tools (such as prompt engineering, agentic workflows, or LLM-assisted coding) to automate operational tracking, synthesize data, and streamline communication.
Data & Analytics Literacy: Solid proficiency in querying, manipulating, and analyzing complex datasets (e.g., intermediate SQL, Python, or BI tooling like Tableau/Looker) to build live data dashboards and extract actionable engineering insights.
Domain Context: Strong understanding of the modern SaaS product development lifecycle, CI/CD pipelines, and the operational realities of working within a cybersecurity or high-scale cloud environment.
Large-Scale Process Design: A proven track record of designing, negotiating, and successfully implementing core organizational processes impacting large engineering organizations (150+ people).
Influence Without Authority: Exceptional interpersonal, presentation, and leadership skills with a demonstrated ability to gain buy-in from skeptical or resistant engineering directors and executive stakeholders.
Pragmatic Problem Solving: A data-driven analytical mindset combined with a highly adaptable, creative approach to overcoming operational bottlenecks. You default to solving problems through system engineering rather than policy enforcement.

Requirements:
Strong software engineering background with experience in AI/ML and LLMs; preferably agent-based systems.
At least 3 years of team leadership experience, including mentoring, guiding execution, and managing deliverables.
Track record of shipping complex projects and supporting production systems in a fast-paced environment.
Excellent organizational and communication skills; able to manage multiple parallel efforts and maintain visibility across projects.
Experience with cloud environments, modern development practices, and production monitoring tools.
BSc in Computer Science or similar.
Additional information:
Experience developing or maintaining AI agents or LLM-based systems.
Ability to balance hands-on engineering with people leadership.
Demonstrated ability to manage multi-stream execution with clarity and structure.

Requirements:
Strong software engineering background with experience in AI/ML and LLMs; preferably agent-based systems.
At least 3 years of team leadership experience, including mentoring, guiding execution, and managing deliverables.
Track record of shipping complex projects and supporting production systems in a fast-paced environment.
Excellent organizational and communication skills; able to manage multiple parallel efforts and maintain visibility across projects.
Experience with cloud environments, modern development practices, and production monitoring tools.
BSc in Computer Science or similar.
Additional information
Experience developing or maintaining AI agents or LLM-based systems.
Ability to balance hands-on engineering with people leadership.
Demonstrated ability to manage multi-stream execution with clarity and structure.

Requirements:
Required Qualifications
A minimum of 7 years of relevant experience in a publicly traded company, public accounting or consulting firm in fields like technology audit, cybersecurity, software engineering, IT risk and controls, or technical program management.
Bachelor's degree in computer science, industrial engineering, information systems, engineering/technical degree, accounting or a related quantitative field.
Proven experience in Information Security, Privacy, Business Continuity Planning, System transformation and IT Governance.
Strong understanding of the Software Development Life Cycle (SDLC), IT Application Controls (ITAC), IT General Controls (ITGC), and technical/non-technical AI risks.
Sound knowledge of relevant standards such as COBIT, ISO (27001, 27701, 42001, 22301), NIST, ITIL, and COSO.
Excellent verbal and written communication skills in English, with the ab

Requirements:
To succeed in this role, youll need:
Bachelors / Master's degree or PhD in Computer Science or a related technical field, specialisation in Security or AI/ML or an exceptional, well-evidenced track record substituting for it
10+ years of software engineering experience, including a track record of owning the architecture of complex systems at enterprise scale
A track record of setting technical direction beyond your own team - architecture or standards other teams adopted, senior engineers you've levelled up, and comfort operating where the problem isn't yet defined
7+ years in security engineering - network and systems security, security protocols, design reviews, and threat modeling - with a focus on AI-specific work in recent years
Multiple demonstrated engagements threat modeling and/or securing LLM, GenAI, or agentic systems, with evidence of platform-level or cross-team impact
Personal ownership of prompt injection / jailbreak defense, guardrail architecture, or AI red-teaming programs - ideally having built the program/methodology, not just executed within one
Deep, applied experience securing model, RAG, or data pipelines, including having designed the access-control and data-governance model others build against
Fluency with the OWASP LLM Top 10 (or equivalent) to the point of extending, critiquing, or contributing to such frameworks - not just applying them
Deep hands-on experience with agentic AI frameworks (e.g., LangChain, LangGraph)
Clear communication, a collaborative default, and a bias toward learning fast in a field that changes constantly
Bonus
Strong command of auth protocols (OAuth 2.0, OIDC, PKCE, API Keys) and agentic protocols (MCP, A2A), including having designed identity/consent models for them
Built and open-sourced (or productized) security tooling/automation for AI systems now used beyond one team
Track record of CVEs, top-tier publications, or invited talks specifically in AI/ML or LLM security
Prior experience setting AI security strategy at a platform or company level, not just a single product
5+ years of programming experience in Java or Python.

Requirements:
Proven technical leadership in complex production environments, including leading significant initiatives and guiding engineers across team boundaries.
Deep AWS experience with business-critical systems and complex or multi-account environments- Must Requirement.
Strong DevOps expertise across Infrastructure as Code, CI/CD, automation, observability, incident response, and scripting or programming.
Production experience with Kubernetes, ideally Amazon EKS, and sound architectural judgment.
Experience building reusable infrastructure or platform capabilities adopted by multiple engineering teams.
Strong communication skills and the ability to set technical direction and align engineers, stakeholders, and external partners.
Advantages
Previous people-management experience
Cloud cost optimization experience.
Databases such as DynamoDB, PostgreSQL, Redis, RDS etc...

Requirements:
Management Experience: At least 5 years of experience leading software engineering teams, with a track record of shipping complex projects and managing production systems.
SaaS Backend Proficiency: Experience building and scaling SaaS applications and RESTful APIs. Proficiency in modern languages (e.g., Javascript, Python, or Java).
Frontend Proficiency: Experience with FE frameworks (e.g. React, Angular) and Microfrontend technologies.
Cloud Native: Deep understanding of cloud-native technologies, including Kubernetes, Docker, and Public Cloud (AWS/GCP).
Shift left Experience: Experience working with teams that own quality, support and devops for the services they are in charge of.
AI-Assisted Development: Experience leveraging AI tools (e.g., Cursor, Claude) to accelerate the software development lifecycle.
Platform Engineering (Advantage): Experience leading or working in a platform team that provides internal services to multiple engineering teams
Identity Domain (Advantage): Familiarity with Identity and Access Management (IAM) concepts, entitlements, and tenant lifecycle management.
Network Security (Advantage): Familiarity with network security concepts and services and technologies (e.g. WAF, Nginx)
Education: BSc in Computer Science or equivalent practical experience.

Requirements:
7+ years as a software engineer, including senior-level work.
5+ years as a tech lead / team lead.
1+ years experience in AI Tools Claude Code, Copilot, Cursor.
Expert-level knowledge of JavaScript, TypeScript, React, and Node.js.
Expert-level command of the full stack ecosystem: build tooling (e.g. Vite) and frameworks/libraries (e.g. TanStack, Redux, Zustand).
Strong hands-on experience with AI-first development (Claude Code, Cursor).
Fluent with modern dev tooling: Git, JIRA, Jenkins.
Professional-level English.
Excellent interpersonal and communication skills.
Nice to have
Additional programming languages and frameworks.
Fluency with API design and documentation tooling (e.g. Swagger, SwaggerHub, IBM API Connect).
Experience working in large organizations (e.g. banking / financial services).