SVP, Head of Agentic Engineering, Acceleration

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Nuvei

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

💳 Fintech

🛍️ eCommerce

🎮 Gaming

💰 $500M Post-IPO Secondary on 2021-05

Fintech • eCommerce • Gaming

Nuvei is a payment technology company specializing in providing seamless and innovative payment solutions for businesses across various industries. It offers a range of services including pay-ins, payouts, global acquiring, bank transfers, real-time payments, and alternative payment methods. Nuvei also focuses on authorization optimization, fraud & risk management, chargeback resolution, and currency management. With integration options tailored for online retail, financial services, and gaming platforms, Nuvei supports businesses in maximizing their revenue and optimizing their tech stack. The company's global platform encompasses more than 700 diverse payment options, making it a trusted partner for both small to medium-sized businesses and large enterprises.

📋 Description

• Define and execute the multiyear strategy and roadmap for agentic product and engineering across Nuvei’s global technology organization • Establish adoption objectives and move teams from controlled experimentation to governed production use and agentic-first practices • Build and lead an initial 10-to-15-person global agentic-native engineering organization, scaling it as demand and value grow • Deliver enterprise software, reusable components, platform capabilities, and modernization initiatives through agentic development • Own the design, implementation, governance, and continuous evolution of the company-wide Agentic Delivery Lifecycle • Integrate agentic delivery with source-code management, CI/CD, testing, security, observability, change-management, and production-operations platforms • Define enterprise-grade agentic development and execution platform requirements and lead adoption of approved technologies • Lead development of reusable enterprise agents, specialized skills, workflows, orchestration capabilities, and MCP services • Establish engineering adoption programs, embedded engineering initiatives, lighthouse implementations, training, academies, certifications, and communities of practice • Redefine roles, skills, team structures, workflows, career paths, and capacity assumptions as adoption matures • Establish governance, security, production assurance, auditability, monitoring, rollback, and incident-management processes • Define metrics, dashboards, executive reporting, and cost controls for productivity, delivery, quality, reliability, modernization, developer experience, and agentic platform utilization • Collaborate with Product, Engineering, Enterprise Architecture, Platform Engineering, Information Security, Data, Risk, Compliance, Finance, and business AI leadership

🎯 Requirements

• Significant executive experience leading global software engineering, AI engineering, developer platform, engineering transformation, or comparable technology organizations • Proven success building and leading high-performing teams across countries, cultures, time zones, and technology environments • Proven experience driving enterprise-scale adoption of new engineering technologies, development methods, operating models, and organizational practices • Demonstrated experience designing, building, or scaling enterprise generative-AI or agentic-AI platforms and production capabilities • Deep understanding of modern software engineering, cloud platforms, developer experience, CI/CD, automated testing, source-code management, observability, security, and production operations • Strong knowledge of large language models, agent orchestration, tool calling, retrieval-augmented generation, context and memory management, model routing, human oversight, MCP servers, model gateways, and enterprise APIs • Practical experience with OpenAI Codex, Anthropic Claude Code, GitHub Copilot, or comparable platforms • Strong understanding of AI security, data protection, identity and access management, secrets management, model governance, intellectual-property protection, and responsible-AI controls • Experience managing major technology investments, vendors, and global transformation programs • Payments, fintech, financial services, or another highly regulated environment strongly preferred • Strong executive communication and influencing skills • Bachelor's degree in computer science, engineering, information systems, or a related discipline, or equivalent experience • Advanced degree preferred • English (written and spoken) is the primary working language

🏖️ Benefits

• Competitive holiday allowance • 401K Matching program • Group Insurance Benefits • Flexible working model • Employee Assistance Program • Equal-opportunity employer committed to a diverse and inclusive workplace • Automated tools, including AI, may support application management and candidate shortlisting