לוח משרות דרושים הייטק AI , לחיפוש זה נמצאו 302 משרות

We are looking for an AI Tech Lead to join our M&T engineering organization - the team behind a live, high-availability TV platform serving telecom and media companies worldwide at 99.995% SLA on AWS.
Were not looking for someone who talks about AI strategy. Were looking for someone who picks up a real problem, finds where AI creates a step-change, and makes it happen.
This is an individual contributor role reporting directly to the VP R&D. Youll be embedded in M&T but will work closely with engineering teams across our R&D - contributing your AI expertise to shared initiatives, building collaborative relationships, and helping move technical work forward together.
If youre the kind of engineer who gets restless when theres a better way and no one is building it yet - this role is for you.
The day-to-day:
Lead AI-driven initiatives across M&T engineering - from scoping and architecture through hands-on execution
Drive adoption of AI tooling and practices across Dev and DevOps teams, both within M&T and cross-org
Identify opportunities where AI can improve engineering velocity, incident response, cost efficiency, and system reliability. Work across teams and departments - align stakeholders, unblock dependencies, and keep initiatives moving
Collaborate with group managers and engineers to translate AI capabilities into practical, production-grade solutions
Stay ahead of the curve: evaluate emerging AI tools, frameworks, and approaches and bring the relevant ones in

Were growing fast and looking for an AI Security Team Leader to join our Engineering Team and play a key role in leading the development of our cutting-edge AI security products (VIBESEC).
This is a high-impact, cross-functional role where youll work closely with Product, Design, and other Engineering teams, helping us deliver high-quality, customer-centric security solutions in a fast-evolving domain.
If youre highly accountable, adaptable, and business-value driven, and excited about cybersecurity, cutting-edge AI, and fast-paced startup challenges, wed love to meet you.
What Youll Be Doing:
Lead & Mentor: Lead a high-performing engineering team developing next-gen AI security products in a dynamic, rapidly changing domain.
Drive Value: Work closely with Product and customers to understand business requirements and transform them into robust, high-quality technical solutions.
Cross-Functional Ownership: Collaborate end-to-end with Product, Design, and other R&D teams to execute complex cross-company projects.
Technical Guidance: Provide architectural overview and technical mentorship to your team, stepping in when necessary to guide proper technical decisions and implementations.
Delivery & Quality: Own the execution, quality, and delivery of products running on endpoints and cloud environments in a high-velocity startup environment.

Medison is addressing one of the pharma industry’s most pressing challenges: enabling access to breakthrough therapies for patients with severe and rare diseases in international markets where traditional commercialization models fall short. As the creator and leader of the global partnership category, Medison has built a first-of-its-kind unified commercialization platform that enables biotechs to effectively plan, optimize and launch their therapies on a global scale. With a strong leadership team and a proven track record, Medison is the partner of choice for innovative biotech companies seeking to expand beyond the US, Western Europe and Japan into regions where most of the world’s population resides. Medison’s affiliate-like model integrates commercial, medical and operational capabilities across diverse geographies, accelerating access and delivering life-changing treatments to more patients, faster. Medison is on a mission to ensure that every patient, regardless of where they live, has the opportunity to benefit from breakthrough therapies. We are looking for a professional S enior AI Enablement to drive AI and business transformation initiatives, combining strategic thinking, execution discipline, and strong cross-functional stakeholder management. This role will play a key part in shaping and driving AI-enabled transformation across the organization, working closely with business, product, AI, and IBT teams to translate strategic priorities into clear execution plans, adoption frameworks, and measurable business impact. The role will be responsible for driving transformation execution governance, including initiative prioritization, business process understanding, dependency management, meeting outcomes, follow-up cadence, risk tracking, and cross-functional accountability across strategic initiatives.

Responsibilities:

* Drive AI and business transformation initiatives from strategy into structured execution.
* Work closely with business, product, AI, and IBT stakeholders to shape AI-driven capabilities and adoption processes.
* Lead transformation execution governance, including planning, prioritization, follow-up, dependency management, and execution rhythm.
* Translate business priorities into actionable plans, clear workstreams, and measurable outcomes.
* Define KPIs, ROI models, and cost-related considerations to support decision-making and value realization.
* Identify risks, gaps, dependencies, and blockers, and ensure timely escalation and resolution.
* Build and implement transformation processes, governance structures, and execution frameworks.
* Support senior stakeholders with clear communication, structured updates, and presentation materials.
* Drive cross-functional alignment and accountability across multiple teams and initiatives.

City:
Petah Tikva

CodeValue is looking for a hands-on Senior AI Engineer with real-world experience building and deploying LLM-based and Agentic Systems to production. You will be responsible for taking AI solutions from concept to reliable, scalable production systems, working across AI, backend, cloud, and infrastructure. Responsibilities Design, develop, and deploy LLM-based and Agentic Systems for production environments. Take AI/Agentic solutions from PoC and concept stages to stable, scalable, and reliable production systems Develop backend services and AI solutions using Python Work hands-on with agentic frameworks such as LangGraph, CrewAI , or similar/custom frameworks. Deploy and operate AI systems in cloud environments Troubleshoot complex system issues and improve observability, reliability, and performance Collaborate with development, DevOps, security, and other technical teams.

We're looking for a Sr. DevOps Engineer to help reshape how our infrastructure and delivery pipelines are built - not just automating tasks, but engineering the platforms and AI-assisted tooling that let our engineers ship faster, safer, and with more confidence. You'll report to the DevOps Sr. Manager.

This isn't a "keep the lights on" role. You'll take real ownership of how our CI/CD and infrastructure evolve, with the autonomy to decide where AI-assisted tooling (copilots, LLM-driven diagnostics, intelligent automation) can remove toil and accelerate the software delivery lifecycle for the teams that depend on us. If you like turning messy, manual processes into reliable, self-service platforms, you'll feel at home here.


Location
Working at least 3 days a week from the office in Caesarea


What you will be doing:

Operate and extend our Kubernetes and container-based platforms, orchestrating deployments across AWS.
Own and evolve CI/CD pipelines spanning Debian packaging, container orchestration, and cloud-native deployments - increasingly augmented with AI-assisted testing, anomaly detection, and self-healing automation.
Design and build Python modules, tools, and services that power our CI frameworks, packaging processes, and operational automation - with AI coding assistants (e.g., Claude Code, Copilot) as a standard part of your workflow for scaffolding, refactoring, and code review.
Partner with development teams to diagnose and resolve complex issues across build systems, APIs, and dev environments, leveraging AI-assisted log analysis and root-cause tooling to cut time-to-resolution.
Maintain and improve automated build/test pipelines using Jenkins and Argo Workflows.
Apply infrastructure-as-code practices with Terraform, ArgoCD, and Helm to keep environments reproducible and easy to reason about.
Explore and pilot AI-driven observability and incident-response tooling (e.g., anomaly detection on metrics/logs, automated runbook suggestions) to make our systems more self-diagnosing over time.
Champion the use of AI/LLM tooling to eliminate manual, repetitive DevOps work - and share what works so the whole team levels up.

We're hiring an exceptional Applied AI Scientist to join our team!
In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across our core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.
Why join us?
We are the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Our partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.
In This Role, You Will Be Responsible For:
Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in our proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.

were looking for a founding AI Engineer to build and define our research function from zero. this is a rare opportunity to work on some of the hardest unsolved problems in applied ai and agents, with massive ownership, visibility, and room to grow into leadership quickly.
what youll do
lead the ai domain: take ownership of our agent architecture and help define its next phases, standards, and direction.
solve hard, unsolved problems: work on challenges in ai agents, reasoning over complex systems, and autonomous decision-making that dont yet have clear playbooks.
build production ai: design, implement, evaluate, and deploy ai systems used by real customers.
be outward-facing: publish technical blogs, benchmarks, and papers; represent the company in the ai and data community.
move fast with autonomy: own problems end-to-end with minimal guidance, working directly with founders.
deliver real customer value end-to-end: take features from idea to production, see them used by customers, and iterate based on real-world impact.

We are looking for a hands-on AI Platform Team Lead to build and lead the team behind this platform: a high-throughput, low-latency engine that runs GPU-based models, from MMBERT-style models to LLMs, together with CPU-based heuristics and security logic.
This is a core infrastructure role for someone who wants to own the runtime layer of AI security at scale: performance, reliability, orchestration, GPU efficiency, and production-grade execution in the traffic path.
The team will also own the model lifecycle required to take AI security algorithms from research to large-scale production, working closely with research and algorithm teams.
Responsibilities:
Build and lead our AI Platform team: hiring, mentoring, architecture, technical direction, and execution.
Own the AI security runtime platform for high-throughput, low-latency inline security decisions across our global cloud and PoPs.
Design the orchestration layer for running GPU models, CPU heuristics, and security logic as one production engine.
Own production readiness: observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health.
Own the model lifecycle platform: registry, versioning, deployment, monitoring, and safe production rollout.
Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.
Define the long-term platform strategy for AI runtime and model serving.