דרושים » AI » AI Projects Manager

we are the global leader in live IP-video solutions, transforming live video into greater value. We are seeking a results-oriented AI Enabler to lead our company's AI adoption journey. In this role, you will be the bridge between cutting-edge AI innovation capabilities and our business goals, driving the operationalization of AI across the organization, from PoC to production while ensuring maximum business value and maintaining our competitive edge. Responsibilities
* Lead end-to-end AI initiatives, from identifying business needs and selecting solutions to implementation, adoption, and impact measurement.
* Act as the bridge between business units and technology, translating business requirements into scalable AI solutions.
* Identify, prioritize, and manage AI use cases across departments based on value and feasibility.
* Define and track KPIs and ROI for deployed AI solutions.
* Drive AI literacy through training sessions and hands-on guidance.
* Partner with IT, Security, and Legal to evaluate and approve AI tools, ensuring compliance with data privacy, GDPR, and security standards.
* Stay up to date with the AI ecosystem and engage with relevant vendors and partners.

We are looking for an R&D Development Group Lead to manage our research and development team. In this role, you will own the end-to-end delivery of production-grade GenAI solutions that bring measurable value to thousands of developers in the company. You will bridge the gap between cutting-edge AI research and practical, scalable engineering, ensuring high-quality standards at every step of the SDLC and help reshape the future of software delivery lifecycle.

What Youll Do:

Strategy & Innovation:
Define the Future of SDLC: Research and define GenAI operating models and best practices. You will champion the "AI-First" mindset, setting the standard for how AT&T integrates AI across the software lifecycle
Innovate with GenAI: Leverage technologies like Copilot, LangChain, AutoGen, and LLMs to build cutting-edge solutions and AI based automations that redefine software delivery
Drive Adoption: Architect and deliver a centralized Web-based GenAI Marketplace to provide visibility, streamline tool adoption, and showcase automation capabilities to the enterprise

Leadership & Mentorship:
Lead a High-Performing group: Manage and mentor team leaders and developers. Foster a culture of technical excellence and AI first mindset, professional growth, and rapid value delivery
Coach for Impact: Act as a technical beacon, coaching your team and others outside the group to adopt GenAI tools and methodologies effectively

Execution & Delivery:
End-to-End Ownership: Take full responsibility for the products your teams develops-from design and architecture to deployment and ongoing maintenance
Deliver Business Value: Collaborate with stakeholders to translate customer needs into actionable roadmaps. Oversee the smooth rollout of new features that drive tangible business impact
Operational Excellence: Continuously optimize and automate the development lifecycle to improve efficiency, speed, and code quality

What We Are Looking For As a VP of AI Security Research you will lead, scale, and inspire multi-disciplinary teams focused on red teaming, sandboxing, adversarial testing, developing red-teaming engines, and guardrail protections for GenAI models and agentic AI systems. In this high-profile role, you will work closely with security research, product, engineering, and compliance teams to shape and deliver the next generation of AI cybersecurity solutions, while combining strategic vision with execution to effectively safeguard LLMs and agentic AI deployments at scale. Key Responsibilities
* Building and scaling global AI security teams, while providing mentorship to senior managers and fostering an innovation-driven security culture.
* Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems, and delivering executive-level threat intelligence and risk assessments to inform corporate AI strategy.
* Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress-test models at scale.
* Partnering with product and engineering to design and deploy enterprise-ready AI guardrails, including policy enforcement layers, monitoring pipelines, and anomaly detection systems – and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).

About Alice:
Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, Alice empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, Alice enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

Hybrid:
Yes

We are looking for a Head of CX - AI, Automation, and Tools to join our team.
The Head of CX - AI, Automation, and Tools role is a unique opportunity to join a highly motivated, customer-centric team striving for excellence. We are shifting gears to an AI-first approach in a super-fast-paced environment. Our goal is to make the customer experience a competitive advantage in the hospitality industry by ensuring our processes are not just defined, but supercharged by intelligent automation.
You will be a hands-on leader-architecting flows in n8n/Make, leading a small group of elite talent, and owning a significant share of the day-to-day operations of our CX.
Responsibilities
AI & Automation Architecture (Hands-on)
Build and Deploy AI Solutions: Take a hands-on role in designing, building, and deploying AI-based automations to revolutionize how we support customers and reduce manual work.
Workflow Engineering: Utilize n8n or Make to architect complex, robust workflows that integrate various CX tools.
Client Facing chatbot - defining the priorities roadmap and requirements for our home grown client facing chatbot - built on AWS AgentCore, Langchain and utilizing multiple AI models.
CX AI Agents management and orchestration - building, deploying and monitoring multiple AI agents that cover all areas of the CX operations including data analysis, knowledge, training, support , quality and more.
Tool Administration: Administration and configuration of all CX tools, including finding or replacing tools as needed to keep our stack cutting-edge.
Leadership & Strategy
Talent Management: Manage a small team of highly talented individuals, fostering a culture of innovation and speed.
Process Ownership: Ownership of existing processes in the CX team and defining new processes as needed to support KPIs.
Cross-Department Interface: Define and manage the interface and processes CX has with other departments (BI, CS, Product, OB) and between the various CX teams.
Data & Tools
Data-Driven Improvement: Oversee the CX KPI reporting and work with the BI team to continuously improve our data and dashboards.
Tech Stack: Oversee the CX tech stack (Zendesk, Tymeshift, Airtable and various internally built tools) , continuously introducing new tools and approaches.

Were seeking a visionary and technically hands-on AI Team Leader to join us and take charge of driving innovation across our core AI systems. As the AI Team Leader, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.

This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.

Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiatives-identify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

We are looking for an experienced and passionate R&D Team Lead to join our fast-growing company and lead our AI Engineering team- a new and growing team responsible for building production-grade AI features and infrastructure that power our product.
AI is central to our product strategy and growth. This team plays a pivotal role in bringing intelligence and automation to every part of our platform. This is a unique opportunity to take part in shaping one of the companys newest and most strategic initiatives, combining leadership, architecture, and hands-on development in a dynamic environment.
Our team moves fast, thinks creatively, and delivers high-quality, scalable systems using the latest technologies, all while enjoying the ride!
What Will You Do?
Lead the architecture, design, development, and deployment of AI driven product in production.
Manage and mentor a small, growing team of talented engineers, setting technical direction and driving excellence.
Youll be accountable for the performance, scalability, and adoption of AI-driven features across the product.
Work hands-on in Go and Python, delivering high-quality, testable, and efficient code.
Design and implement AI-based logic, automations, and data-driven capabilities deeply integrated into the product.
Collaborate with other R&D teams to bring intelligent capabilities into the companys core platform.
Define and promote best practices for scalability, reliability, and observability.

Were looking for a talented AI research team lead for the Data Science group, to help us develop advanced AI solutions that will empower impactful projects across. The Data Science group leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product, optimize processes, and deliver personalized experiences.
Lead a team of AI researchers
Manage and conduct advanced hands-on research projects that will impact 250M+ users
Leverage the latest advancements in LLM customization, multimodal models, knowledge representation, and conversational AI
Build horizontal AI capabilities to be used across
Collaborate with other internal departments to drive impactful data-driven projects.

we are looking for Director of AI Enablement to lead the transition of our R&D organization to AI driven development and SDLC. The goal is to continuously help our developers and engineering roles use AI coding tools as well as develop AI based agents to optimized the development experience and velocity, applying the new AI based development methodologies across our our global R&D organization.
Your mandate is to help accelerate delivery by on boarding teams to effectively use AI tools during the development and testing, support the teams in building production level code and how to best leverage the AI coding agents to meet the production level standards.
How will you make an impact?
Upskill engineers - run concise workshops and pair‑programming sessions with developers and teams to help them become more proficient and productive in adopting AI coding tools for their SDLC
Join R&D teams, on demand, to help with hands on AI based coding tasks.
Prototype & demo reference AI agents that illustrate best‑practice patterns teams can reuse
Proactively suggest tools and processes to improve developer experience and productivity
Train the trainer- collaborate with the AI Champions in R&D to build joint knowledge in the organization so that they will be able to distribute it to their teams.
Build backlog for AI Champions on specific tools and sharable deliveries that the entire organization can benefit from, and be responsible to track the adoption of those tools and practices.