Piloter les initiatives d’Intelligence Artificielle, de la phase d’exploration jusqu’à la livraison, en garantissant leur alignement avec les objectifs métiers et leur faisabilité technique.
Responsibilities
Piloter les initiatives d’Intelligence Artificielle, de la phase d’exploration jusqu’à la livraison, en garantissant leur alignement avec les objectifs métiers et leur faisabilité technique.
Définir la vision, la stratégie, les feuilles de route et le périmètre des produits d’Intelligence Artificielle avec les responsables métiers et produits.
Prioriser les initiatives selon leur valeur métier, leur faisabilité, les besoins utilisateurs et les dépendances associées.
Coordonner les équipes pluridisciplinaires composées d’ingénieurs en Intelligence Artificielle, de data scientists, d’architectes Cloud et de parties prenantes métiers.
Suivre les cycles de développement, les budgets, les ressources, les risques et les indicateurs d’adoption afin de garantir la création de valeur.
Support customers in transforming their business processes from traditional system landscapes to modern S/4HANA Utilities architectures, design and optimize processes across the entire value chain, integrate industry solutions into the digital core, and contribute to building a new practice in the utilities industry.
Responsibilities
Support customers in transforming their business processes from traditional system landscapes to modern S/4HANA Utilities architectures
Analyze, design, and optimize processes across the entire value chain – from master data to billing and all the way to financial closing
Integrate industry solutions into the digital core and leverage the potential of the SAP Business Technology Platform (BTP)
Contribute knowledge to building a new practice and help define best practices for the utilities industry
Business Analyst responsable de l’analyse et de la formalisation des besoins/évolutions du produit, garant du périmètre des applications développées, support et tests.
Responsibilities
Analyser le besoin
Étudier les impacts applicatifs
Participer à l’estimation de complexité
Réaliser des Spécifications fonctionnelles détaillées
Définir les critères d’acceptation et contrôler/assister la phase de développement
Identificar, calificar y desarrollar oportunidades comerciales en el sector de telecomunicaciones, gestionando cuentas clave y desarrollando relaciones estratégicas de largo plazo con clientes y socios del ecosistema.
Responsibilities
Identificar y generar oportunidades comerciales
Prospectar nuevos clientes en el sector Telco
Calificar y priorizar oportunidades de negocio
Gestionar el pipeline comercial y realizar forecasting preciso
Elaborar soluciones integrales basadas en tecnologías Telco
Lead the design, implementation, and evaluation of agentic AI solutions that enhance eCommerce platforms, collaborating with product and engineering teams across the UK, Vietnam, and globally.
Locations (3)
Toronto, Canada
United Kingdom
Ireland
Compensation
UK: GBP 90,000 – 100,000 a year
Dublin, Ireland: EUR 105,000 – 115,000 a year
Responsibilities
Assess new agent capabilities, protocols, models and infrastructure and recommend adoption strategies
Review AI agent integration with the cloud intelligence layer, including discovery, merchant context, identity and permissions
Build working prototypes and reference code to validate concepts
Collaborate with product and engineering partners to transition experiments into production
As a hands-on Senior AI Engineer within Zscaler's IT AI/ML Engineering team in India, you will design, build, test, and operate production-grade AI applications used by employees and customers globally. Collaborating daily with a US-based technical lead and distributed teammates, you will own well-scoped projects end-to-end, specializing either in agents and retrieval systems or AI business solutions and platform support.
Responsibilities
Design and build production-grade AI services, APIs, and retrieval pipelines in Python with clean, tested, and well-documented code.
Lead scoped AI projects from design to launch, breaking down ambiguous business requirements into clear technical tasks.
Integrate test sets, regression checks, tracing, and cost/latency tracking into every feature to ensure system reliability.
Partner closely with global, cross-functional teams, share status transparently, review code, and mentor junior engineers.
Provide L2 support for AI applications, administer enterprise AI platforms, write runbooks, and build automation to reduce repeat issues.
Elastic is searching for an Enterprise Account Executive to expand our Enterprise and Strategic customer accounts. Our Enterprise Account Executives are individual contributors, passionate about building new business and growing the Elastic footprint within accounts of more than 4,000 employees and ensuring our customers are successfully leveraging Elastic cloud solutions across their organization.
Compensation
Competitive pay based on the work you do here and not your previous salary
Responsibilities
Building awareness and driving demand for Elastic solutions within new Enterprise accounts, by helping users and customers derive value from their data sets
Serving as an evangelist for our Open Source offerings while communicating and demonstrating the capabilities of our commercial features
Uncovering new and diverse use cases to enable our users to work smarter, not harder
Collaborating across Elastic business functions to ensure a seamless customer experience
Working thoughtfully with customers to identify new business opportunities, leading through the sales cycle and closing complex transactions
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