דרושים » הנדסה » Principal AI Scientist, Fintech Innovation Architecture

Join an amazing team driving AI solutions in the fintech industry, primarily focused on evaluating risk for lending products.
This Senior Staff role is a blend of leading the full AI/ML development cycle and acting as a Data Science Architect, responsible for all engineering aspects of the work to deliver excellent, high-quality, and operationally sound AI systems.
Responsibilities:
System Architecture & Operational Excellence:
Deliver robust AI/ML system designs that meet customer and systems requirements, including latency, throughput, cost, and maintenance.
Working with partners and architects, define the vision and align on architecture for integration, ensuring excellent deliveries in terms of quality, stability, security, compliance, and operational excellence.
Drive cross-functional end-to-end design architecture.
Lead conversations with partner architects to influence AI-driven product design and strategy
AI/ML Development & Modeling:
Lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, and insight generation.
Apply advanced, predictive statistical modeling and testing to extract data-driven insights from complex, large-scale data sources (relational and non-relational).
Review complex and challenging work to help simplify and execute with speed.
Strategy & Consultation:
Provide guidance to business stakeholders on how best to harness available data and fully exploit the insights revealed through the research.
Drive the design and creation of reusable AI capabilities.

Come join as a Senior Staff Machine Learning Engineer (MLE).
Senior Staff MLEs deliver end-to-end AI solutions that span multiple domains and products, influencing the strategic direction of machine learning and AI across the company. You will identify cross-cutting opportunities, set technical direction for complex systems, and deliver scalable, responsible AI-driven experiences that unlock customer and business value at scale.
In this role, youll be expected to define and evolve ML architecture, guide multiple teams, and drive execution excellence across the full ML lifecycle-from experimentation to production. Youll partner closely with AI scientists, product engineers, and business leaders to solve high-impact problems and pioneer new capabilities that advance AI-native platform.

We are looking for a Machine Learning Engineer (MLE) to work on building foundational language models and agentic AI systems that empower small and medium-sized businesses (SMBs) in their financial and operational journeys.
In this role, youll work alongside Machine Learning Engineers, AI scientists and product teams to build LLM based solutions for millions of small and medium busniesses around the world, and build foundational models, involving translate breakthrough research into production systems - designing, implementing, optimizing cost, latency, serving models that reason, act, and learn across real-world business contexts. Youll build scalable pipelines and infrastructure that drive impact on customers lives with the state-of-the-art AI from prototype to customer impact.
This is a unique opportunity for an engineer who thrives at the intersection of science and production, combining deep technical understanding of AI systems with the rigor and creativity needed to deliver robust, reliable, and high-performing products at scale.
Responsibilities:
Implement, optimize, and deploy foundation and agentic models for large-scale use in financial reasoning, decision support, and business automation.
Collaborate with MLE, AI scientists to operationalize research ideas, turning model architectures and training methods into efficient, production-grade implementations.
Design, build, and maintain ML pipelines for data ingestion, preprocessing, training, evaluation, and continuous improvement.
Optimize inference efficiency and model latency, ensuring production systems meet real-time performance requirements.
Contribute to retrieval, memory, and orchestration components that enable agentic reasoning and long-term context management.
Establish best practices for model monitoring, evaluation, and safe deployment, including automated testing and observability in production environments.
Drive applied innovation, bridging the gap between research prototypes and large-scale, reliable business solutions used by millions of customers.

Come join the team as a Senior 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 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're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a "builder" mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.
we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.
Responsibilities:
Create Front End solutions to deliver exceptional customer experiences.
Translate customer insights into mockups, wireframes, and proof-of-concept code
Lead a small team to solve complex programming and design issues
Contribute to project design and architecture and execute on web, mobile, and front end software development
Provides technical direction and guidance to the team by analyzing, evaluating, and prioritizing technical issues/ features, ultimately ensuring that high-quality solutions are delivered
Proactively identify opportunities to enhance software applications with AI technology
Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics

We are seeking a talented, creative, and fast-moving AI Engineer to join our AI team.
This is a unique opportunity to play a hands-on role in shaping the future of AI-driven technologies across our cloud data platform.
Were seeking a smart, creative, and fast-learning engineer who thrives in a dynamic environment.
A curious mind who loves to experiment, prototype, and transform cutting-edge AI and ML concepts into impactful, real-world products.
Responsibilities:
Design, develop, and deploy AI-based features and automation tools across our platform.
Collaborate with engineering, product, and data teams to identify and execute opportunities for AI integration.
Work with Machine Learning models, LLMs, NLP, and generative AI frameworks to enhance product intelligence and user experience.
Prototype, test, and iterate rapidly, optimizing models for scalability and performance.
Stay updated on AI and ML trends, tools, and research, bringing fresh ideas and technical insight to the team.

We are seeking a highly skilled AI Engineer to help define the future of intelligent forensic research platforms.In this role, you will lead the design and integration of advanced AI capabilities into a large-scale, production-grade environment, working closely with core engineering and research teams.
You will contribute to unifying internal tools and workflows into a cohesive, AI-driven ecosystem that significantly enhances developer and researcher productivity.You will also drive the evolution of automation and analysis pipelines, replacing brittle processes with robust, scalable, and intelligent solutions.
A key part of the role involves exploring complex datasets, evaluating models, and applying generative AI and heuristic approaches to uncover, structure, and interpret digital artifacts.This position offers the opportunity to work on challenging problems at the intersection of AI, systems engineering, and data analysis, with real influence over architecture, tooling, and research direction.
If you are motivated by building high-impact AI systems, solving non-trivial technical problems, and enabling teams to operate at a higher level, this role provides a unique opportunity to make a lasting impact in a mission-driven domain.
Key Responsibilities:
Develop and implement AI solutions to parse and analyze data from forensic extractions, including mobile devices.
Design, build, test, and maintain efficient, reusable, and reliable C# .NET code with integration to cloud services in AWS.
Utilize heuristic-based methods and GenAI technologies to enhance data identification and classification.
Research, explore data, assess, and implement the best models to solve various forensic research problems.
Collaborate with other professionals across the company, combining AI, Forensic Research, and Engineering expertise.
Translate forensic research methods into AI algorithms and innovation suggestions.
Location - Israel, Petah.

We are looking for a talented and driven developer to join our Research Engineering team and contribute to the development of scalable, cloud-native AI solutions on AWS. This role focuses on building and maintaining infrastructure and services that support advanced machine learning workflows, real-time inference, and robust observability.
You will research and build data-driven applications. Research and develop Machine Learning algorithms to turn forensic data into investigation leads, evidence, and intelligence insights. Be a part of a heterogeneous, multi-disciplinary research team. Take projects end to end, from the inception of the idea, through data and algorithm research and POC development. The work is both analytical and experimental in nature and includes prototyping of new algorithms, investigating data, and evaluating algorithm performance.
Responsibilities
Design and implement features for our AWS-based AI solution, including job orchestration, manifest generation, and API integrations.
Develop and maintain CI/CD pipelines using GitHub Actions, CDK, and AWS infrastructure (e.g., SageMaker, Lambda, Bedrock).
Ensure code quality and reliability through comprehensive unit testing, performance testing, and observability enhancements.
Collaborate with cross-functional teams to integrate AI services into broader investigation workflows and runtime environments.
Troubleshoot deployment issues and contribute to the continuous improvement of dashboards and monitoring tools.

We are looking for a strong hands-on Engineering Manager to lead the AI Productization team. You will lead a team that creates innovative products and platforms, ensuring AI capabilities are delivered to our customers at scale. You will act as a technical leader, mentoring engineers and applying technical expertise to challenging programming and design problems.
Respnsibilities:
Strategic Leadership: Collaborate closely with other teams to lead the strategy as well as drive the execution and bring it to life. Create a shared vision and build/maintain strong cross-functional relationships with partners across the business.
AI Delivery: Lead the delivery of backend as well as front end experiences, powered by state of the art AI technologies.
Build High Performing Teams: Bring out the best ideas from the best engineers by empowering them and leading by example. Build high-performing teams by putting the right people in the right job at the right time.
Hands-on Leadership: Participate in code reviews, design discussions, and hands-on coding to ensure the team delivers high-quality software.
Operational Excellence: Drive results by thinking strategically and ensuring the team follows Agile development methodologies.

We are looking for a Cyber Security Architect to lead the design and implementation of robust security solutions that protect our radar systems from cyber threats.
In this role, you will define security architecture for radar hardware, embedded software, and communication interfaces, ensuring compliance with automotive cybersecurity standards and safeguarding mission-critical sensing technology.
Youll be part of a team shaping the future of autonomous driving. Our radar technology is a critical component in delivering safe, reliable, and intelligent mobility solutions. Youll work on innovative projects in a collaborative environment, with the opportunity to influence security strategy at a global scale.
What will your job look like?
Security Architecture Design - Develop and maintain end-to-end security architecture for radar systems, including hardware, firmware, and software components.
Threat Modeling & Risk Assessment (TARA) - Perform Threat Analysis and Risk Assessment for radar components, software modules, and communication channels; identify vulnerabilities and design mitigation strategies.
Secure Communication - Implement encryption, authentication, and integrity checks for radar data transmission between hardware and software layers.
Secure Software Design - Define and enforce security controls for APIs, middleware, and integration points between radar systems and other vehicle subsystems.
Compliance & Standards - Ensure radar systems meet ISO 21434, UNECE WP.29, and other relevant automotive cybersecurity regulations.
Collaboration with R&D - Work closely with radar engineers, embedded software developers, and system architects to embed security into the design process.
Incident Response Support - Provide architectural guidance during security incidents involving radar systems.
Technology Evaluation - Assess and recommend security tools, frameworks, and methodologies for radar-specific applications.