לוח משרות דרושים AI Engineer משרה מלאה

This role requires a blend of deep research, secure systems design, and hands-on prototyping. You will pioneer new approaches to secure the AI development lifecycle, create systems that govern how agents interact safely with tools and APIs, and build solutions that bake security into the fabric of our agentic platforms. Your work will be critical in shaping our long-term AI security roadmap and establishing new standards for the industry.

What youll do::
Design and build defenses that secure our Agentic AI ecosystem, our LLMs, and our cutting edge AI models.
Proactively identify and mitigate risks in this emerging domain by creating foundational security solutions.
Focus on developing scalable, secure-by-design frameworks that empower developers to build trustworthy applications.
Continuously drive and implement cutting-edge security in agentic ai, and LLM use througout the company while converting these insights into production-grade controls and services deployed across the company`s platform.

we are a leader in accelerated computing, driving innovation across industries with groundbreaking technologies in AI, graphics, and high-performance computing. Our networking products, including InfiniBand and Ethernet solutions, power some of the worlds largest data centers, enabling unparalleled scalability and efficiency for AI and scientific workloads. In the realm of security, our company has a long history of providing secure solutions for AI products and securing the AI pipeline.
We are seeking expert AI engineers who are passionate about advancing cybersecurity research to join our team. This is an opportunity to work on groundbreaking projects that involve AI to secure high-performance networking systems.
What you'll be doing:
Research novel AI techniques to secure next-generation networks and apply them to existing our company products.
Investigate and analyze network telemetry for indicators of vulnerabilities in secure environments.
Collaborate with our company researchers to explore innovative ways to improve security in networking products.
Contribute to projects that have potential real-world impact on NVIDIA's product portfolio.

We are looking for an experienced AI/ML Engineer to join our Applications team within our platform engineering group. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model deployment both in cloud environments and on-premises using GPUs and CUDA. Youll optimize and implement ML models, workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy ML models, AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust ML pipelines and systems.
Deploy models on cloud and on-premises GPU servers.
Optimize system performance, including model inference, scalability, and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

We are looking for an experienced Software Engineer with GenAI/ML knowledge to join our AI/ML Applications team. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and GenAI pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model/agent deployment both in cloud environments and on-premise. Youll optimize and implement workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust GenAI systems.
Optimize system performance, including robustness, scalability, communication protocols and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

Were seeking an experienced AI/ML Platform Engineer to join our Foundations team, the group behind our next-generation GenAI platform powering innovation across the company and beyond. This team is building scalable, high-performance AI systems for both internal users and external customersdesigned to run seamlessly across cloud and on-premise environments using the latest advancements in hardware. In this role, youll lead efforts in distributed training, inference at large scale, resource optimization, and robust model lifecycle management using MLOps best practices. Your work will be critical to accelerating research, supporting production-grade AI infrastructure, and driving the development of our internal AI ecosystem.

Responsibilities
Architect and build scalable ML infrastructure for training and inference workloads across heterogeneous compute environments (on-premise and cloud).
Design and implement distributed systems to support model lifecycle management from data ingestion and preprocessing, to training orchestration and deployment.
Optimize performance and cost-efficiency of large-scale model training and serving pipelines using technologies like Ray, Kubernetes, Spark, and GPU schedulers.
Collaborate with AI researchers, data scientists, and product teams to understand their workflows and translate them into reusable platform services and APIs.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.
Contribute to the long-term vision and technical roadmap of the ML platform, ensuring it evolves to meet the growing demands of AI across the company.

As a Senior AI Engineer in the Clinical AI domain within our Data & AI group, you will play a critical role in designing, building, and scaling cutting-edge machine learning and LLM-based systems that power our AI-first healthcare experiences. Your work will drive capabilities in clinical risk prediction, conversational agents, and personalized health management tools.

You will take technical ownership of key projects, lead the development of scalable AI systems, and collaborate closely with cross-functional teams spanning product, data science, and engineering. In essence, you will help shape the future of AI in a high-impact, healthcare-focused environment.

Responsibilities:
Lead the technical design, development, and deployment of robust machine learning and LLM-based applications.
Architect and implement scalable systems for conversational agents, risk models, and clinical workflows.
Collaborate with data scientists and product managers to turn research and user insights into production-ready AI solutions.
Contribute to advanced prompt engineering, retrieval-augmented generation (RAG), and agent orchestration efforts.
Design and implement robust evaluation, testing, and monitoring strategies for AI models in production.
Integrate real-time data from mobile apps, wearables, and clinical sources into AI pipelines.
Investigate emerging AI technologies, evaluate their applicability, and recommend their integration into our systems.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systemsmaking observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

We're seeking an experienced Generative AI Specialist to design and implement sophisticated agentic AI systems that can autonomously handle complex workflows.
You'll be responsible for architecting AI agents that can interact with various data sources, make intelligent decisions, and deliver actionable insights to our customers.
This role represents a unique opportunity to pioneer enterprise-scale agentic AI implementation, establishing new paradigms for autonomous decision-making and intelligent automation.
Key Responsibilities:
Design and deploy production-grade agentic AI systems that can autonomously process customer documents and queries
Architect retrieval-augmented generation (RAG) pipelines for large-scale document management and intelligent information extraction
Implement multi-agent orchestration frameworks that can coordinate between different specialized AI components
Develop robust context management systems for handling extensive customer data while maintaining efficiency and accuracy
Create and optimize AI workflow automation that can handle dynamic customer requirements and business scenarios
Ensure AI system reliability, scalability, and compliance with industry regulations
Implement comprehensive performance monitoring systems to track AI output quality, accuracy, and relevance
Collaborate with cross-functional teams to integrate AI agents with existing business processes and systems

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.

we are looking for a Senior Software Engineer to join our growing Innovative DataEngine team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history. This organization is in the center of the hurricane created by the artificial intelligence revolution.
As a Data Pipelines Engineer,
You will be building pipelines on top of the company Insight Engine, a one-stop shop to build fully integrated AI pipelines. You will build new and innovative AI pipelines and applications as blueprints for customers and AI practitioners to use.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data centers, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality, and a team of fearless company ronauts who leverage their skills & experiences to make a real market impact.

We are looking for an AI Engineer with backend development experience to help design and scale our next-generation multi-agent systems.
This role requires strong deep understanding of how AI agents, LLMs, and protocols operate internally.
You will contribute to building a multi-agent platform and orchestration pipelines across GCP (Vertex AI, ADK, BigQuery, Cloud Run, Dataflow) and AWS, focusing on scalability, reliability, and evaluation.
What youll do:
Multi-Agent Systems Work with MCP & A2A protocols, implement agent discovery, registries, orchestration engines, and evaluation frameworks.
LLM Operations Apply embeddings, prompting, retrieval (RAG), fine-tuning, and optimize agentLLM integration.
Backend Development Build microservices (Python/Go) on Cloud Run / agents engine / Kubernetes, design APIs, and support distributed execution.
CI/CD & Airflow Contribute to pipelines for agents and workflows, with monitoring, rollback, and governance.
Agent Evaluation Help define and run metrics for agent performance, safety, and lifecycle management.

We are looking for the best to join us as we expand our groundbreaking journey.
We are confident that your unique skillset, perspective, and passion, encouraged and inspired by our wealth of technology, research and expertise in these fields will be the driving force needed to continue being an industry spearhead for many years to come.
Position Description:
We are interested in welcoming an AI Engineer to join our diligent team and design, develop, and implement proprietary AI models, improve accuracy, efficiency, and functionality.

we are looking for an AI Engineer to join our amazing DeepUI team.
We are developing revolutionary runtime engine and transforming the online experience for hundreds of millions of users.
Our proprietary AI-based technology is bringing the world's leading digital adoption platform to the next level by understanding and interacting in real time with graphical user interfaces at a human level.
We are looking for people who are passionate about leading technology to the extreme. If you are striving to develop an innovative product, make an impact, and work with the industrys brightest talent as part of one of the fastest-growing and successful startups around.!
What will you actually be doing?
Design and development of new AI based GUI comprehension systems.
Develop and apply advanced algorithms to the exciting and rapidly evolving domain of AI based Automations Agents.
Exploring and validation of new algorithms based on large existing data sets.
Help build engineering culture.
Investigate, implement and share new AI technologies and ideas.

we are looking for an AI Engineer to join our amazing DeepUI team.
We are developing revolutionary runtime engine and transforming the online experience for hundreds of millions of users.
Our proprietary AI-based technology is bringing the world's leading digital adoption platform to the next level by understanding and interacting in real time with graphical user interfaces at a human level.
We are looking for people who are passionate about leading technology to the extreme. If you are striving to develop an innovative product, make an impact, and work with the industrys brightest talent as part of one of the fastest-growing and successful startups around!
What will you actually be doing?
Design and development of new AI based GUI comprehension systems.
Develop and apply advanced algorithms to the exciting and rapidly evolving domain of AI based Automations Agents.
Exploring and validation of new algorithms based on large existing data sets.
Help build engineering culture.
Investigate, implement and share new AI technologies and ideas.

Required Sr. GTM Specialist SA GenAI/ML GenAI Israel , EMEA Data and AI Solutions Architecture
DESCRIPTION
Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Data & AI background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) AI/ML GenAI team as a GTM Specialist Solutions Architect!
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Key job responsibilities:
Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases.
Provide advanced technical knowledge to your aligned GTM teams to unblock our customers largest and most critical business challenges.
Along with your extended team, own the technical bar for specialist technical artifacts and standards.
Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.
Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.