דרושים » AI » AI Evangelist Lead

In one sentence
As AI reshapes the future of software, we aim to harness its power to transform the way networks, IT systems, and business operations are built and managed. We seek a visionary and hands-on AI Evangelist & Enablement Lead to join our company.
This is a unique hybrid role that combines deep technical expertise with a passion for teaching, enabling, and advocacy. As a member of the company agentic AI office. you will join our internal team of champions for AI-driving the adoption of Agentic and Generative AI across our company engineering and product teams, while also positioning our company as a thought leader in the global technology ecosystem.
What will your job look like?
Internal AI Enablement & Strategy
Partner with engineering and product development teams to integrate and optimize AI/GenAI tools throughout the software delivery lifecycle, from coding and testing to deployment and operations.
Define and champion best practices, coding standards, and standardized workflows for AI-assisted development across the organization.
Establish and lead an internal AI community of practice, fostering a culture of innovation, knowledge sharing, and responsible AI adoption.
Hands-on Implementation & Prototyping
Lead the evaluation, piloting, and integration of new AI development platforms (e.g., advanced coding assistants, MLOps frameworks, internal LLM deployments).
Build proof-of-concept projects and reusable AI components to showcase the value of emerging technologies and architectural patterns.
Design and document robust frameworks for leveraging AI services with a focus on scalability, performance, security, and cost-effectiveness.
Knowledge Sharing & Education
Create and deliver hands-on workshops, tech talks, and practical tutorials on topics like prompt engineering, AI-powered debugging, and integrating LLMs into production workflows.
Develop an internal knowledge base with code samples, case studies, and technical documentation to empower engineers to adopt and scale AI independently.
Mentor engineers and team leads, helping them grow their skills and confidence in applying AI to complex telecom and enterprise challenges.
External Evangelism & Thought Leadership
Represent our company as a technical expert at industry conferences, customer events, and developer communities.
Publish technical blog posts, whitepapers, and open-source contributions that showcase our companys innovative use of AI in the telecom and enterprise software domains.
Stay at the forefront of the rapidly evolving AI landscape, bringing back insights and opportunities to the organization.

We are looking for a visionary and deeply technical Chief Architect for Data, AI & GenAI Platforms to drive the architecture, tooling, and long-term technological direction of our enterprise data and GAI products and initiatives. This is a foundational leadership role that sits at the intersection of hands-on system design, cross-functional enablement, and long-term strategic innovation.
You will serve as the chief architect and technology strategist across all data, AI, and GenAI efforts-owning the blueprint that powers intelligent products, agent-based experiences, and scalable platforms. Your work will influence product design, platform infrastructure, governance models, and the broader technical ecosystem we operate in.
We are seeking someone with deep, hands-on experience building large-scale, production-grade data and AI systems-combined with the ability to mentor teams, influence engineering leaders, and partner with product and business leadership to deliver enterprise-scale transformation.
Key Responsibilities
Define and own the technology vision, architecture, and evolution roadmap for all data, ML/AI, and GenAI systems across the organization.
Lead the architectural design and hands-on guidance of scalable data pipelines, real-time analytics, AI agent platforms, model hosting infrastructure, and enterprise knowledge frameworks.
Oversee and connect multiple AI and data-related initiatives, including LLM agents, vector databases, RAG pipelines, MLOps, and enterprise data lakes-ensuring coherence, reusability, and security.
Establish and enforce technical standards, patterns, and tooling across teams to ensure high-quality engineering, model performance, and platform scalability.
Partner with product, engineering, and business leaders to align technology strategy with product goals, business outcomes, and customer needs.
Guide the evaluation and adoption of emerging technologies including open-source GenAI frameworks, fine-tuning platforms, orchestration tools, and scalable cloud-native architectures.
Mentor and support principal engineers, data scientists, platform leads, and architects-creating a culture of technical excellence, experimentation, and ownership.
Champion data quality, model explainability, AI governance, and responsible AI practices across the entire lifecycle.
Serve as a senior thought leader internally and externally-representing the company in technical forums, conferences, and customer engagements when needed.

In one sentence
Join our companys cutting-edge amAIz development group, shaping the future of AI-driven solutions for the telecom industry.
We are looking for a dynamic and visionary Development Manager to lead a newly formed, high-impact development team within our companys GenAI & Data organization. In this role, you will manage a talented and independent team of developers focused on building innovative AI products and solutions using Generative AI, Machine Learning, NLP, LLMs, Cloud-native architectures, and microservices.
You will work at the pace of a startup, turning groundbreaking ideas into reality. Collaborate closely with Product Managers and System Architects to develop our companys AI product and deliver end-to-end, scalable, and secure solutions that will revolutionize the telecom industry.
What will your job look like?
Lead and mentor a team of skilled developers, fostering a culture of innovation and technical excellence.
Drive the development of AI-based products and platforms, leveraging Python, React, and modern frameworks like LangGraph and MCP, A2A protocols.
Collaborate with global cross-functional teams, including Product Management and Architecture, to ensure alignment and successful execution.
Operate in a fast-paced, agile environment, balancing multiple priorities and delivering high-quality results.
Champion best practices in CI/CD, DevOps, containerization (Docker, Kubernetes), and cloud deployment (AWS, Azure, GCP).

In one sentence
Join our companys GenAI & Data unit as a Lead Data Scientist and shape the future of AI innovation.
Drive the development and deployment of advanced machine learning models, lead a team of top-tier Data & AI experts, and turn bold ideas into scalable, high-impact solutions. Youll champion best practices, collaborate with R&D, and transform business objectives into cutting-edge, data-driven strategies - operating with startup agility inside a global enterprise.
What will your job look like?
As a Data Scientist Lead, your responsibilities include:
Leading and mentoring a team of Data and AI engineers, fostering a culture of innovation, collaboration, and continuous learning.
Full responsibility for developing and implementing advanced machine learning models, and translating business objectives into actionable data-driven solutions, while also mentoring junior team members and staying current with industry trends
Working with R&D groups for integration
Maintaining existing AI/ML engines.
Promoting best practices in AI development.

we are looking for an AI Evangelist 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
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.

In one sentence
We are seeking an experienced and strategic FinOps Team Lead to own and scale our Cloud Financial Operations practice across multiple business units and cloud environments. You will lead day‑to‑day cloud financial operations, driving cost optimization, financial accountability, and operational efficiency, while partnering closely with Engineering, Finance, Procurement, and product teams to ensure cloud investments deliver maximum business value.
What will your job look like?
Team Leadership & Development:
o Manage and mentor a team of FinOps professionals, fostering a culture of collaboration and continuous improvement.
o Define roles, responsibilities, and career development plans for team members.
Optimization & Task Management:
o Oversee and prioritize optimization initiatives across multiple cloud platforms (AWS, Azure, GCP).
o Ensure timely execution and tracking of cost-saving projects and operational improvements.
Planning & Governance:
o Build and maintain weekly, monthly, and annual work plans aligned with organizational goals.
o Establish governance frameworks for FinOps processes and ensure compliance with corporate policies.
Reporting & Transparency:
o Provide clear visibility into savings achieved, task status, and ROI of optimization efforts.
o Develop dashboards and reports for executive leadership and key stakeholders.
Cross-Functional Collaboration:
o Work closely with technical teams, finance, procurement, and executive leadership to align priorities and drive results.
o Act as the primary liaison between cloud service owners and financial stakeholders.
o Identify opportunities for cost reduction and efficiency improvements.
POC Leadership & Tool Evaluation:
o Lead Proof of Concept (POC) initiatives for new FinOps tools and technologies.
o Define KPIs for POCs and evaluate candidates for enterprise-wide adoption.
Process & ROI Communication:
o Clearly articulate the value and ROI of FinOps initiatives to stakeholders.
o Promote FinOps best practices across the organization.

In one sentence
The company Data and AI platform is looking for a Software/ML Engineer specialist to join us in Raanana, Israel. In this role, you will join Data Science & MLOps team that develops features on our product based on the Databricks platform, where Spark is at the heart of our implementation.
You will work end-to-end: from data preparation and feature engineering, through ML/LLM modeling, to production-grade deployment, CI/CD, and monitoring.
Youll need excellent technical skills along with strong communication and ownership.
We are a team with open discussions, where every voice counts, and we are open-minded about adopting new technologies when they make sense.
What will your job look like?
Develop production-grade ML/LLM services and pipelines on Databricks, using Spark.
Design, implement, and maintain reusable preprocessing and feature engineering components.
Industrialize the ML lifecycle (experiment tracking, model packaging, deployment, monitoring) and improve reliability, performance, and cost.
Build ML pipelines and model deployments using Jenkins and Databricks Asset Bundles.
Work closely with data scientists and engineers to translate research into scalable, maintainable production code.
Own features from design through production, including writing tests, documenting, and providing operational support.
Come to the office 3 times a week.

Were looking for an experienced Lead Full-Stack Developer whos ready to take technical ownership, support a growing team, and drive the evolution of our products.
This role is ideal for someone who enjoys combining hands-on coding with mentorship and day-to-day technical leadership.
Responsibilities:
As a key player in one of our agile teams, you actively contribute to the development of products according to agile principles
You are responsible for all parts of the software development process: requirements analysis, implementation, testing, etc.
You work in a self-organizing team in our agile software development process and help shape it to continuously improve
You develop valuable increments for our product according to our vision with the newest technologies
Continuous learning and improvement of your and our way of working is part of your daily business
As a lead, you are acting as a role model for your team and guiding less experienced members of your team
You have an eye on all non-functional aspects of development (security, performance, scalability, reusability) and do the reviews for critical implementations
When user stories are planned, you make sure that an implementation plan is created, and you challenge user stories on a technical level.
You are skilled in communicating and can argue your ideas and views
JR105295

We are seeking an Embedded Software Technical Lead who combines strong hands-on development expertise with the ability to guide a team technically. This role involves leading the design and development of new features, ensuring code quality, supporting customers when needed, and fostering collaboration and continuous improvement across the organization.
Responsibilities
Engage in hands-on software development, debugging, and troubleshooting on embedded targets, working closely with the team.
Lead technical efforts for new features, ensuring reliability, scalability, and high performance.
Improve software quality by conducting code reviews, mentoring team members, and promoting best practices.
Provide customer support when necessary, addressing technical issues efficiently.
Encourage a culture of open communication and feedback within the team and across teams.