לוח משרות דרושים הייטק AI , לחיפוש זה נמצאו 302 משרות

What you'll be doing
Agent architecture: Design the evolution from today's production single-agent system to a multi-agent one: orchestration, task decomposition, runtime and framework choices, and a migration path that does not break what design partners already rely on.
Agent capability: Own the prompts, context, skills, and tool design that make the agent genuinely good at detection engineering across multiple security platforms, not just plausible-sounding.
Evaluation platform: Build the harnesses, judges, and golden datasets that turn "the agent feels better" into a number, plus the CI gates that keep regressions from shipping.
Reliability and safety: Keep long-running agentic sessions healthy in production, and build the isolation and guardrails required of an agent working inside enterprise security environments.
Production debugging: Work real failures from production traces, and turn each one into an eval case that can never regress silently.
Technical direction: Make the calls on architecture, sequencing, and quality bar and be accountable for the outcome, including raising how AI-natively the whole team builds.
Cross-team partnership: Partner with product and customer-facing teams on what the agent should do, and with platform teams on the data and integrations it depends on.

What youll own
Youll own the AI at the core of our product, which keeps SOC detection and response in sync with constant change. Youll decide what it does, how security teams work with it, how we know its getting better, and how we grow it.

What you'll be doing
Define the strategy and roadmap for our agentic capabilities.
Work with engineering to execute on it while constantly evolving it with latest tech developments.
Implement agentic product methodologies for building, evaluating and shipping AI based products.
Work with SecOps teams to evolve the roadmap and build capabilities that solve their hardest problems.
Identify product evolution opportunities from market and technology signals, and strategize product development accordingly.
Enable sales and marketing teams to meet the market pain use cases in XL scale.

As an AI Researcher, youll be part of the team building the AI systems that power our products. Youll work across research and engineering - from training and post-training state-of-the-art LLMs to applying them to challenging real-world problems such as agentic behavior, coding, and security-related decision-making.

This is a hands-on research role with a strong focus on taking ideas from experimentation to production. Youll have significant ownership and the opportunity to shape both the direction of our AI research and the systems we build around it.


WHAT YOU WILL DO
Train, adapt, and scale state-of-the-art LLMs using techniques such as post-training SFT, knowledge distillation, LoRA, and reinforcement learning.
Develop and evaluate new algorithms and approaches, bridging cutting-edge academic research with production-grade AI systems.
Optimize models for production, balancing quality, latency, throughput, and cost at scale.
Own the AI lifecycle-from algorithmic prototyping and synthetic data generation to evaluation, deployment, and iteration of production AI features.
Work closely with engineering and product teams to translate research advances into impactful AI capabilities.
Lead research initiatives that advance the capabilities of Vegas AI systems.

This is a rare opportunity to work at the intersection of offensive security and AI - and to have your expertise shape a platform used at enterprise scale. Your work will be deployed and used to hack into applications and systems in the real world.

Responsibilites
Design and implement reinforcement learning workflows to train state-of- the-art LLMs specializing in cybersecurity. Design tasks, datasets, and benchmarks for training and evaluating LLMs and agents.
Work on experimentation and evaluation systems - evals are key to everything we do. In this role, you will build evaluation pipelines, design and build experiments, and construct simulations.

In one sentence
Some opportunities are about joining a company. Others are about helping create the future.
Amdocs is looking for a VP, AI-Native Engineering to lead the development of our next generation of software: spec-first, business-driven autonomous systems that increasingly generate themselves from intent, specifications and business outcomes.
We believe the way complex software is imagined, built and operated is about to change fundamentally. Reporting directly to the Head of Amdocs Technology, this leader will turn that vision into working technology and build a focused, exceptional team to make it happen.
This is not a traditional large-scale engineering leadership role. We are looking for a visionary technology leader who is also a proven builder, combining deep technical credibility with the ability to turn emerging AI capabilities into enterprise-grade products and platforms.

What will your job look like?
Define and execute the technology vision for AI-native, autonomous software development.
Turn the North Star concept into architecture, engineering practices, platforms and working systems.
Build and lead a highly capable team of engineers, architects and AI specialists.
Pioneer spec-first and agentic development, using AI to transform how software is designed, built, tested and operated.
Take breakthrough ideas from experimentation and prototypes to scalable, production-grade solutions.
Demonstrate measurable improvements in engineering productivity, speed, quality and adaptability.
Partner across product, technology, business and customer-facing teams to translate innovation into business and customer value.

Were looking for a Senior Backend Engineer who will join our team and make a big impact.

About the role

Youll join a small, high-ownership backend team building the systems that power Shields core platform, working mainly on data pipelines with a focus on the quality and structure of the data itself. We believe great engineers come from all backgrounds, and we actively work to build a team where everyone belongs and thrives.

What youll do

Design and implement new flows and services
Maintain, improve, and extend existing backend services and APIs
Work with multiple data stores - relational, NoSQL, search (Elasticsearch, etc.)
Maintain and build event-driven pipelines using message brokers (Kafka, RabbitMQ, or similar)
Collaborate with product and architecture on scalable, resilient system design
Integrate and leverage AI tools in your daily workflow - and ideally, build them

Were looking for a hands-on researcher to help shape our research direction and turn ideas into working capabilities, with access to large proprietary driving datasets and close collaboration with the teams developing our next generation of autonomous driving technology.
What will your job look like:
Research and develop image and video generation models, with a focus on temporal consistency, multiview coherence, and controllable driving-scene generation.
Explore and adapt state-of-the-art world models for autonomous driving, helping shape the teams research and technical direction.
Own the full development lifecycle, from research and experimentation to model training, evaluation, and integration into real-world workflows.
Build scalable, clean Python and PyTorch implementations for training and evaluating generative models.
Collaborate with AI researchers and perception teams to develop generative capabilities for training and evaluating autonomous driving systems.

Required Senior AI Researcher - Visual GenAI
About the team:
How do you generate a driving scene that stays consistent over time, across cameras, and under controlled changes? These are exactly the types of problems we solve.
Our Visual GenAI team develops image and video generation capabilities for autonomous driving, with a growing focus on video and world models.
Were looking for a hands-on researcher to help shape our research direction and turn ideas into working capabilities, with access to large proprietary driving datasets and close collaboration with the teams developing our next generation of autonomous driving technology.
What will your job look like:
Research and develop image and video generation models, with a focus on temporal consistency, multiview coherence, and controllable driving-scene generation.
Explore and adapt state-of-the-art world models for autonomous driving, helping shape the teams research and technical direction.
Own the full development lifecycle, from research and experimentation to model training, evaluation, and integration into real-world workflows.
Build scalable, clean Python and PyTorch implementations for training and evaluating generative models.
Collaborate with AI researchers and perception teams to develop generative capabilities for training and evaluating autonomous driving systems.

Required Senior AI Algorithm Engineer - Vision Localization Group
About the team:
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.

We are seeking a hands-on Technology & AI Internal Audit Manager to join our global Internal Audit team. This role combines contributing to technology audit and advisory engagements with driving the adoption of AI, advanced analytics, automation, Generative AI, and Agentic AI solutions across the Internal Audit function.
Key Responsibilities
Contribute to technology audit and advisory engagements across AI transformations, IT systems, cloud infrastructure, cybersecurity, applications, data management, business processes, and operational domains.
Develop methodologies to evaluate risks across agentic systems throughout the AI lifecycle, including model governance, validation, explainability (XAI), algorithmic bias, agent autonomy, and the security posture of LLMs/GenAI systems in light of emerging global regulations.
Drive the design, testing, and deployment and operationalization of GenAI tools and enterprise AI agents using enterprise AI platforms and agentic AI frameworks to scale analytics and automate core audit workflows.
Partner with teams across Engineering, Product, Enterprise AI, InfoSec, Privacy, Legal, and Finance to evaluate emerging technological risks and formulate actionable recommendations.
Lead research on AI and technology risks and controls to formulate recommendations for process improvements and innovation.

Our team is looking for a skilled professional to join the AI software group. In this role, you will focus on our AI kernel compilers, ensuring our hardware delivers peak optimization for sophisticated and custom AI kernels. You will work extensively with various kernel infrastructures, including Triton and CUDA, while collaborating closely with our AI graph compiler teams.

We are seeking a talented engineer to work on our AI software stack-specifically, the low-level optimization of AI models and kernels for our unique hardware architecture.

Your Career:
The Cortex Content team powers Palo Alto Networks security operations platforms (XSIAM/XSOAR) by building the essential integrations, data connectors, and intelligence layers that protect our customers.
We are looking for a Senior Software Engineer who is passionate about AI and automation to help scale our content ecosystem. In this role, your focus will be leveraging AI to accelerate the delivery, quality, and quantity of our security integrations and content infrastructure. You will design and develop intelligent tools and workflows that enable engineering peers and Technical Program Managers (TPMs) to scale their output, collaborating with them as they test, adopt, and integrate these solutions into our development lifecycle.
Your Impact:
Scale Content Delivery: Design and implement AI-driven systems that empower the team to significantly increase both the quantity and the rigorous quality of our security integrations.
Develop Cross-Functional Tooling: Build internal developer tools and agentic workflows that enable other engineers and TPMs to streamline content creation, validation, and management.
Optimize Workflows: Create reliable CI/CD pipelines incorporating AI agents to automate code generation and testing processes.
Support Team Adoption: Collaborate with engineering peers and cross-functional partners as they test and integrate your tools into their daily workflows, using their feedback to drive continuous improvements.
Contribute to AI Integration: Help lead the practical integration of LLMs and automation frameworks into our day-to-day engineering processes.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
About the team:
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

?abra professional services is seeking a Senior Generative AI Engineer! This is a hands-on role combining deep technical expertise with strategic thinking to design, develop, and implement advanced Generative AI solutions. The role offers significant business impact, transforming complex challenges into scalable AI-powered products and solutions used in large-scale production environments. Key Responsibilities: • Lead the end-to-end architecture, design, development, and deployment of advanced Generative AI applications, including Multi-Agent Systems and Retrieval-Augmented Generation (RAG) solutions. • Design and optimize RAG pipelines, integrating Large Language Models (LLMs) with structured and unstructured data, including Knowledge Graphs and Vector Stores. • Build, manage, and automate Generative AI solutions using AWS services, including Bedrock, S3, SageMaker, Lambda, and Step Functions. • Lead Proof of Concepts (POCs) and evaluate emerging GenAI technologies and products to identify the most suitable solutions for business needs. • Integrate AI solutions with existing enterprise systems using APIs and Microservices. • Collaborate with Data Engineers, Analysts, and Product Managers to translate business requirements into scalable and practical AI solutions. • Implement advanced MLOps processes, including CI/CD, Docker, and monitoring solutions, to ensure the reliability, scalability, and maintainability of AI applications.