Enterprise Architect – Chief Architect for Agentic Delivery

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

🔙 Ingénieur Back-end

👻 Score fantôme 22%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Nuvei

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2017

💳 Fintech

🛍️ eCommerce

🎮 Jeux vidéo

💰 €500 000 000 Post-IPO Secondary en 2021-05

Fintech • eCommerce • Gaming

Nuvei est une entreprise technologique spécialisée dans les paiements, fournissant des solutions de paiement transparentes et innovantes pour les entreprises de divers secteurs. Elle offre une gamme de services comprenant les dépôts, les paiements, l'acquisition globale, les virements bancaires, les paiements en temps réel et les méthodes de paiement alternatives. Nuvei se concentre également sur l'optimisation des autorisations, la gestion de la fraude et des risques, la résolution des rétrofacturations et la gestion des devises. Avec des options d'intégration adaptées pour le commerce en ligne, les services financiers et les plateformes de jeux, Nuvei aide les entreprises à maximiser leurs revenus et à optimiser leur infrastructure technologique. La plateforme mondiale de l'entreprise englobe plus de 700 options de paiement diversifiées, faisant de Nuvei un partenaire de confiance tant pour les petites et moyennes entreprises que pour les grandes entreprises.

Description

• Define and lead enterprise architecture for Nuvei’s adoption of agentic AI across Product, Software Engineering, and Platform Engineering • Establish and govern the company-wide Agentic Delivery Lifecycle for agent design, development, testing, approval, deployment, production access, and monitoring • Define the agentic AI adoption roadmap with risk-based controls and approval gates • Architect, implement, and govern enterprise agentic platforms, including OpenAI Codex, Anthropic Claude Code, and approved alternatives • Design MCP and model gateways, execution environments, skill registries, enterprise integrations, observability, auditability, availability, and disaster recovery standards • Define standards for reusable agents, skills, workflows, orchestration, context, memory, tool usage, delegation, and human oversight • Architect and develop MCP servers connecting models securely to enterprise applications, data, developer tools, and fintech APIs • Establish token economics, budgets, quotas, alerts, allocation or chargeback models, and cost controls • Lead architecture for the Agentic AI Center of Excellence and publish reference architectures, playbooks, standards, and reusable patterns • Build training, architecture forums, communities of practice, and certification programs; advise teams on pilots and production adoption • Define governance for agent ownership, accountability, approval, production access, and ongoing operation • Establish controls for data leakage, prompt injection, hallucination, model misuse, unauthorized actions, and excessive autonomy • Partner with Security, Legal, Privacy, Risk, Compliance, Finance, Procurement, and architecture review boards • Define and review measures for adoption, productivity, cycle time, code quality, reliability, risk, cost, and employee experience • Remediate or retire underperforming and high-risk use cases and update the roadmap as capabilities evolve

🎯 Exigences

• Significant enterprise, solution, or platform architecture experience, including standards, governance, design reviews, and technology roadmaps • Demonstrated experience designing and implementing enterprise AI, generative AI, or agentic AI platforms • Strong knowledge of large language models, agent orchestration, retrieval-augmented generation, tool calling, context management, and human-in-the-loop architectures • Hands-on experience with OpenAI Codex, Anthropic Claude Code, GitHub Copilot, and MCP servers, gateways, or comparable integrations • Strong knowledge of identity and access management, API security, secrets, data protection, observability, cloud architecture, CI/CD, and secure software delivery • Understanding of AI risk, model governance, privacy, regulatory compliance, and controls in regulated environments • Ability to communicate clearly with executive, technical, risk, and business stakeholders • Enterprise-oriented and technically credible, balancing innovation with security, resilience, compliance, and cost discipline • Pragmatic and outcome-focused, able to move from executive strategy to detailed architecture and implementation • Influential communicator able to build alignment across Product, Engineering, Security, Risk, Compliance, Finance, and business leadership • English (written and spoken) is the language used most of the time

🏖️ Avantages

• Competitive holiday allowance • 401K Matching program • Group Insurance Benefits • Flexible working model • Employee Assistance Program • Equal-opportunity, diverse, and inclusive workplace

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