דרושים » AI » AI Architect- R&D and Innovation Center

Requirements:
Hands-on experience in generative AI or ML, with a strong track record of delivering real-world tools, prototypes, or research-backed systems.
Experience integrating AI solutions with APIs, data pipelines, and external systems in production environments.
Deep expertise in multimodal learning, generative models, or agent-based frameworksespecially involving LLMs.
Strong programming skills in Python and SQL, with hands-on experience in building and deploying AI/ML pipelines.
Understanding of cloud platforms (e.g., AWS, GCP, Azure) and AI infrastructure, including MLOps best practices.
Proven ability to integrate and operationalize AI-assisted development tools (e.g., GitHub Copilot, Cursor).
Excellent communication and collaboration skills, with the ability to translate technical advances into business impact.

Requirements:
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
10+ years of experience in system architecture, real-time systems, and AI/vision-based infrastructure.
Proven leadership experience driving complex system architecture in innovative technology companies.
Deep technical expertise in real-time operating systems (e.g., QNX, Linux RT, Zephyr) and real-time scheduling.
Strong background in designing AI runtime systems, including deployment of deep learning models on edge devices.
Proficiency in C/C++, system-level Python, and hardware-software optimization techniques.
Hands-on experience with edge computing architectures involving CPUs, GPUs, NPUs, and custom accelerators.
Familiarity with automotive-grade system design, including safety standards like ISO26262 an advantage.
Excellent communication, collaboration, and leadership skills, with a hands-on and strategic mindset.

Requirements:
Minimum of 3 years of experience in architecture design and implementation.
Strong knowledge of digital banking systems and infrastructure. In-depth understanding of software development methodologies and best practices.
Experience with cloud-based technologies and microservices architecture.
Excellent problem-solving and analytical skills.
Good understanding of AI technologies and LLM eco-system.
Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
Certifications in relevant architecture frameworks (e.g., TOGAF) are a plus.
Advantages
Background in Fintech industry.

Requirements:
B.Sc. in computer science, software engineering or equivalent
Self learner, and proven record of ability to remove technical road-blocks
3+ years experience developing software for production systems and/or internal infrastructure/tools
1+ years customer-facing experience.
Prior experience working with cloud computing platforms (e.g. AWS, GCP, Docker, Kubernetes)
Skilled at writing production-grade Python code
Strong team player with excellent communication skills in verbal and written English.
Experience working with Generative AI and Large Language Models in particular.

Requirements:
Required qualifications:
-Proven experience leading the architecture and implementation of enterprise-scale integration solutions composed from a diverse range of technologies, integration patterns, approaches and deployment models, such as:
-MuleSoft or similar integration/APIM products (e.g. Tibco, Boomi, SAP, IBM)
Event Driven Architecture, Microservices, batch-based processing patterns
Traditional, containerized or cloud based infrastructure.
-Experience in API life-cycle management, from API design and development through to deployment and operations and governance.
-Track record on leading migration initiatives from legacy systems (e.g. monolith applications), integration patterns (e.g. SOA), infrastructure towards more scalable and resilient architectures.
-Hands-on experience of applying DevOps & Agile principles and Software Engineering best practices.
-Success in leading and/or enabling distributed & diverse teams to deliver great results when faced with organizational complexity and ambiguous demands.
-A track record of adding to the team you are in through mentoring colleagues and forming internal initiatives to enhance and evolve the teams technical and consulting capabilities.
-Willingness to travel regularly to meet customer needs as required.
-An active interest in understanding how AI will benefit customer solutions and increase productivity across the Software Delivery Lifecycle.
-Hebrew (native speaker) and English (fluent written & spoken).
-Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).

Preferred Requirements
-Achievement of MuleSoft Certified Integration Architect and MuleSoft Certified Platform Architect certification.
-Having acted as a trusted advisor to senior customer stakeholders (C-level and/or Head of) with the proven ability to build influence and impact change across the wider organization.
-A track record of experimenting with new technologies and/or contributing to the open source community.
-Experience of learning and applying a variety of technologies outside of the integration domain (e.g. for App or Web Dev) and of carrying roles across the wider SDLC (e.g. QA, Operations, SysAdmin).
-A passion for continuous improvement where innovation has introduced tangible change to customers and colleagues.
-A polished public speaker with experience of presenting at industry conferences, meet-ups and/or company events.
-Industry specific domain knowledge which has been applied to tangibly increasing the value of a solution implemented for a customer.
-Holding external/third party qualifications and certifications relevant to this role (e.g. Salesforce, AWS, Azure, GCP).
-Strong capabilities (written & spoken) in additional languages prevalent across the EU.

Requirements:
7+ years of experience in building and operating mission-critical, data-intensive, and distributed systems.
5+ years of hands-on experience with Scala, Java, .Net, or Python development (preferably several of them).
3+ years of hands-on experience in SQL and data analysis.
Ability to architect and design complex software systems while adhering to fundamental principles and best practices.
Excellent understanding of Data Architecture concepts and modern tools such as Snowflake, BigQuery, Databricks, Airflow, DBT, Looker is essential.
In-depth understanding and hands-on experience with low latency high volume distributed systems.
Experience with following and advocating state-of-the-art SDLC processes.
Good interpersonal and collaboration skills, with the ability to work effectively across various teams and organizational levels.
Bachelors degree or higher in Computer Science or related field or equivalent technical experience.

Requirements:
What we need to see:

BSc, MSc, or PhD in Engineering, Computer Science, or a related field, or equivalent experience.

5+ years of relevant experience, including several years in a product-focused role.

Deep understanding of networking products and systems, with demonstrated experience in translating technical challenges into product innovations.

Proven ability to work cross-functionally with marketing, product, architecture, and engineering teams.

Strong analytical skills and experience conducting in-depth, quantifiable evaluations of technical ideas.

Excellent communication skills, with the ability to present complex technical subjects in a clear and concise manner to diverse audiences.

Ways to stand out from the crowd:

Fast learner with a passion for technology and a drive to succeed.

Demonstrated deep understanding of technological market dynamics and the AI ecosystem.

Track record of making impactful, data-driven recommendations that influence product direction.

Experience in AI, particularly with large language models (LLMs) or advanced AI architectures.

Exceptional ability to distill complex analyses into actionable insights for both technical and business stakeholders.

Requirements:
Experience in a Head of Architecture position, CTO, Chief Architect, VP R&D or similar roles, with proven management experience leading winning architects teams.
10+ years of experience in design & implementation of complex software systems.
Excellent understanding of Networking and Security solutions and products.
Strong background in building and operating SaaS products.
Strong collaboration skills to understand and translate business and product goals into technical strategies.
Excellent communication, presentation, and interpersonal skills, with proficiency in English.
Demonstrated problem-solving abilities and a track record of delivering complex, high-quality software solutions.
Leadership qualities that inspire and foster teamwork and innovation. 

Requirements:
10+ years of experience in software development and systems architecture.
Experienced with cloud infrastructures and building complex solutions in production
Proven track record of leading and delivering technical excellence.
Extensive experience in Backend programming with an object-oriented language- Must.
Experience with Python and Go Advantage.
Excellent problem-solving skills and attention to detail.
Strong leadership, communication, and interpersonal skills.
Ability to work effectively in a fast-paced, dynamic environment.
Bachelors or Masters degree in Computer Science, Engineering, or a related field.