לוח משרות דרושים הייטק AI  בחולון, לחיפוש זה נמצאו 9 משרות

Were looking for a AI Solutions Junior Engineer who thrives at the intersection of data, product, and client impact. In this role, youll take full ownership of delivering and evolving AI based data solutions for our customers - blending deep analytical skills with strong communication and product intuition. If youre excited by semantic models, data analysis, and helping clients leverage data to inform business decisions, this role is for you.
What Youll Do:
Work with AI-generated semantic models, editing them and optimizing them to drive actionable insights.
Work directly with customer stakeholders to deeply understand business needs, use cases, and their data environment.
Own the technical solution end-to-end, including model refinement, tuning and verification, ensuring data accuracy and consistency.
Collaborate with R&D, Sales and Product to surface insights, resolve blockers, and influence product enhancements.
Translate business questions into analytical solutions constantly pursuing optimization, efficiency and automation opportunities.
Work with client stakeholders to provide training and enablement support.

the role will establish scalable processes, standard pod structures, and PI planning in line with R&D leaderships vision to improve throughput and efficiency. The position will act as a thought leader on agile best practices, supporting R&D leaders through training, documentation, and artefacts, while also ensuring strong visibility into R&D performance through reporting and key metrics such as cycle time, velocity, and throughput. In addition, the role will identify inefficiencies and operational risks, lead mitigation and improvement initiatives, support governance forums, and communicate progress to senior stakeholders, including R&D leadership and senior leadership stakeholders.

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Key Responsibilities:​
Drive the implementation and scaling of SAFe methodologies across R&D, embedding Agile ways of working to improve delivery efficiency and consistency​
Provide thought leadership on Agile best practices, influencing R&D leaders and supporting adoption through training and documentation​
Track and report on key development KPIs (e.g., cycle time, lead time, on-time delivery), identifying inefficiencies and driving continuous improvement​
Design and support governance forums, ensuring clear tracking of actions, progress reporting, and effective communication with senior stakeholders​
Risks and design governance forums, ensuring effective mitigation, progress tracking, and clear communication with senior stakeholders​

We are looking for a technically-grounded, visionary Product Owner to lead GenAI-powered initiatives within our B2B platform. You will stand at the intersection of cutting-edge LLM technology and enterprise-scale business impact, transforming how global financial institutions handle everything from underwriting automation to complex claims intelligence.

Key Responsibilities:
AI Roadmap & Strategy: Define and own the GenAI roadmap, identifying high-value use cases like fraud detection copilots, document intelligence, and agentic underwriting.
Backlog Excellence: Own and optimize the product backlog, translating complex AI concepts into clear user stories and acceptance criteria for engineering and data science teams.
Technical Specs & Orchestration: Read and write technical specs, API contracts, and data models. Youll work closely with Development & architecture teams
Experimental Mindset: Lead lean experiments and A/B tests to validate LLM performance, managing the balance between probabilistic AI outputs and deterministic business rules.
Stakeholder Leadership: Communicate the vision and progress transparently to global stakeholders and enterprise clients, acting as the bridge between "the possible" and "the practical".

Support the implementation of the AI strategy across R&D by identifying, selecting, and institutionalizing AI tools to drive efficiency across the SDLC​
Partner with R&D and Product leadership to drive adoption of AI tooling, developing training materials, use cases, and leading enablement sessions across divisions/product teams​
Define and track KPIs to measure AI impact (e.g., financial benefits, development efficiency, quality improvements), providing visibility on realized value​
Establish and maintain governance frameworks, artefacts, and AI usage policies in collaboration with R&D Ops and SecOps to ensure structured and compliant adoption​
Identify operational risks related to AI adoption, driving mitigation plans and supporting governance forums to track progress and communicate with senior stakeholders​