עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
35,000-55,000 ₪
capture business requirements, translate requirements into functional design, user stories, technical design, drive end to end integration testing, support data set up and issue remediation during uat, manage development team activities, develop hypercare support model
define and architect ai agents for supply chain use cases, using the right frameworks, multi-agent coordination, rag, deployment, monitoring, and life cycle management.
be hands on in quick proof of concepts development to demonstrate technical feasibility and implement enterprise grade agentic supply chain solutions
partner with enterprise it engineering, product, and research teams while evaluating llms, agentic frameworks, and nvidias own nemo technologies.
ensure integration with enterprise it and operations data sources and industrys best agentic platforms with strong content security focus.
drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.
lead design reviews, develop technical documentation, and guide developers in principles of architecture and code development.
champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable ai agents.
influence supply chain operations adoption of the platform by partnering with stakeholders across it, supply chain and serve as a reference adopter providing feedback to strengthen nvidias ecosystem.
define and architect ai agents for supply chain use cases, using the right frameworks, multi-agent coordination, rag, deployment, monitoring, and life cycle management.
be hands on in quick proof of concepts development to demonstrate technical feasibility and implement enterprise grade agentic supply chain solutions
partner with enterprise it engineering, product, and research teams while evaluating llms, agentic frameworks, and nvidias own nemo technologies.
ensure integration with enterprise it and operations data sources and industrys best agentic platforms with strong content security focus.
drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.
lead design reviews, develop technical documentation, and guide developers in principles of architecture and code development.
champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable ai agents.
influence supply chain operations adoption of the platform by partnering with stakeholders across it, supply chain and serve as a reference adopter providing feedback to strengthen nvidias ecosystem.
Requirements:
what we need to see:
bachelors or masters degree in Computer Science or related field (or equivalent experience)
12+ years of demonstrable experience in solutions design
demonstrate proficiency in ai/ml systems, generative ai, or agentic ai frameworks.
familiarity with large language models, rag pipelines, orchestration frameworks (e.g., React, langchain, autogpt-like flows).
experience integrating enterprise platforms (e.g., ERP, CRM, itsm) with apis, data connectors, or custom services.
technical solution design, analytical skills, technical and business process modeling
excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships.
ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.
ways to stand out from the crowd:
hands-on experience with containerized deployments, kubernetes, and hybrid cloud/on-prem environments.
prototyping skills in Python with ability to build proof-of-concept agent workflows.
experience with nvidia ai technologies such as nemo, nemo guardrails, aiq, or gpu-optimized inference stacks.
track record of publishing technical papers, architecture patterns, or thought leadership in ai systems.
knowledge of observability tools, telemetry dashboards, and evaluation frameworks for ai agent performance as well as experience solving real-world problems with ai in supply chain domain.
what we need to see:
bachelors or masters degree in Computer Science or related field (or equivalent experience)
12+ years of demonstrable experience in solutions design
demonstrate proficiency in ai/ml systems, generative ai, or agentic ai frameworks.
familiarity with large language models, rag pipelines, orchestration frameworks (e.g., React, langchain, autogpt-like flows).
experience integrating enterprise platforms (e.g., ERP, CRM, itsm) with apis, data connectors, or custom services.
technical solution design, analytical skills, technical and business process modeling
excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships.
ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.
ways to stand out from the crowd:
hands-on experience with containerized deployments, kubernetes, and hybrid cloud/on-prem environments.
prototyping skills in Python with ability to build proof-of-concept agent workflows.
experience with nvidia ai technologies such as nemo, nemo guardrails, aiq, or gpu-optimized inference stacks.
track record of publishing technical papers, architecture patterns, or thought leadership in ai systems.
knowledge of observability tools, telemetry dashboards, and evaluation frameworks for ai agent performance as well as experience solving real-world problems with ai in supply chain domain.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
ערב
3 חודשים
