# Nuvei — SVP, Head of Agentic Engineering and Acceleration

- Generated: 2026-08-20 03:49:26 PM EDT
- Original/canonical posting: https://jobright.ai/jobs/info/6a73534432ebbc14ffb4e393
- Jobright source: https://jobright.ai/jobs/info/6a73534432ebbc14ffb4e393
- Posted: 2026-08-04 08:00:00 PM EDT
- Valid through: 2026-09-04 08:00:00 PM EDT
- Applicants: Not disclosed
- Work model/location: Remote/flexible within the United States; listing references Atlanta
- Employment type: FULL_TIME
- Compensation: Not disclosed
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: PASS — 74%

## Direct-match strengths

Agentic platforms, Codex, Claude, MCP, RAG, governance, security, global enablement, team building, and production AI

## Hard or material gaps

Generated by Keith's explicit override. Original assessment: Material gap: the role requires proven enterprise-wide global adoption of agentic engineering operating models. Keith has direct platform/build evidence and global AWS enablement, but not a completed company-wide ADLC transformation at this scale.

## Evidence map

1. Agentic platform architecture — direct production evidence.
2. Codex, Claude, MCP, RAG, and orchestration — direct source-supported experience.
3. Governance, security, IAM, auditability — direct.
4. Initial 10–15 person team — direct through an 11-engineer team.
5. Global enablement — direct AWS communities totaling 180+ specialists.
6. Enterprise-wide global ADLC transformation — adjacent rather than completed direct evidence.

## Full normalized job description

Note: The job is a remote job and is open to candidates in USA. Nuvei is a global fintech building the infrastructure for every payment, everywhere. The SVP, Head of Agentic Engineering and Acceleration will lead the company's global transformation toward agentic software engineering and establish agentic development as a core enterprise capability.
Responsibilities
Define and execute the multiyear strategy and roadmap for agentic product and engineering across the company's global technology organization
Establish adoption objectives by engineering function, product domain, geography, technology stack, and maturity, moving teams from controlled experimentation to governed production use and agentic-first practices
Partner with global product and engineering leaders to embed agentic capabilities into delivery models, processes, organizational structures, and accountabilities
Identify and remove technical, organizational, cultural, talent, process, and governance barriers to adoption
Establish executive governance and reporting covering adoption, investment, delivery outcomes, risk, cost, and realized business value
Build and lead an initial team of approximately 10 to 15 engineers, architects, platform specialists, and agentic-development leaders, scaling it into a larger global engineering organization as value and demand grow
Operate the team through an agentic-native model in which approved agents and workflows perform software design, development, testing, documentation, deployment, monitoring, maintenance, and modernization
Ensure engineers primarily direct, orchestrate, supervise, validate, and optimize agents rather than rely on conventional manual software-development practices
Deliver high-priority enterprise software, reusable components, platform capabilities, and modernization initiatives through this model
Establish engagement, prioritization, delivery, talent, and leadership models, and codify successful practices into reusable standards, playbooks, architectures, agents, skills, and accelerators
Own the design, implementation, governance, and continuous evolution of the company-wide ADLC
Embed agentic capabilities throughout requirements, architecture, coding, review, testing, security validation, documentation, release, deployment, production operations, incident response, and modernization
Define reusable patterns, control gates, certification, production-readiness standards, and risk-based requirements for human supervision, validation, approval, and intervention
Integrate the ADLC with enterprise source-code management, CI/CD, testing, security, observability, change-management, and production-operations platforms
Establish versioning, auditability, rollback, monitoring, incident-management, and lifecycle controls without compromising quality, resilience, maintainability, security, or regulatory compliance
Define the requirements and target architecture for enterprise-grade agentic development and execution platforms, partnering with Platform Engineering, Enterprise Architecture, Security, and engineering leaders on implementation
Lead adoption and integration of approved technologies such as OpenAI Codex, Anthropic Claude Code, GitHub Copilot, and comparable capabilities
Provide secure, reliable, self-service access to approved models, tools, execution environments, enterprise data, repositories, APIs, golden paths, and reusable platform services
Define requirements for model routing, context and memory, identity, secrets, privileged access, auditability, observability, availability, scalability, and disaster recovery; prevent fragmented tooling and ungoverned deployments
Lead development of reusable enterprise agents, specialized skills, workflows, orchestration capabilities, and Model Context Protocol (MCP) services
Establish an enterprise registry and standards for approved agents, skills, prompts, tools, MCP servers, context, memory, delegation, testing, versioning, ownership, and retirement
Develop secure MCP servers and comparable integrations connecting models with enterprise applications, engineering platforms, data environments, operational tools, and core fintech APIs
Establish certification, access, and reuse requirements that promote interoperability while preventing duplication, inconsistent practices, and uncontrolled agent proliferation
Establish an acceleration capability that works directly with product and engineering organizations to identify and implement high-value agentic use cases
Deploy embedded engineers into priority domains and lead lighthouse implementations that demonstrate value, transfer knowledge, and create sustainable local capability
Develop training, technical academies, certifications, communities of practice, engineering forums, and a global network of agentic engineering champions
Partner with engineering management to redefine roles, skills, team structures, workflows, career paths, and capacity assumptions as adoption matures
Create implementation playbooks and change programs that support responsible experimentation, build confidence, address resistance, and sustain adoption across cultures and geographies
Establish governance for ownership, approval, production access, operation, monitoring, and retirement of agents and agentic engineering capabilities
Implement controls addressing data leakage, hallucination, prompt injection, insecure code generation, model misuse, unauthorized tool execution, intellectual-property exposure, and excessive autonomy
Ensure production agents and agent-generated software have accountable owners, appropriate testing, audit trails, monitoring, rollback capabilities, and incident-management processes
Partner with Information Security, Legal, Privacy, Risk, Compliance, and Internal Audit to meet regulatory and responsible-AI requirements, including clear exception, escalation, remediation, and risk-acceptance processes
Define baselines, targets, dashboards, and executive reporting for productivity, cycle time, release frequency, quality, defect leakage, change-failure rate, reliability, modernization velocity, and developer experience
Measure adoption and performance by team, geography, domain, workflow, and maturity, and compare the agentic-native organization with conventional delivery approaches
Establish transparency and controls for token, model, licensing, infrastructure, and platform costs; optimize routing, context, caching, prompts, and platform utilization
Remediate, consolidate, or retire underperforming and high-risk use cases, translating productivity gains into greater capacity, faster delivery, improved outcomes, and reduced cost
Skills
Significant executive experience leading global software engineering, AI engineering, developer platform, engineering transformation, or comparable technology organizations
Demonstrated 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 agentic development technologies such as 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
Strong executive communication and influencing skills
Bachelor's degree in computer science, engineering, information systems, or a related discipline, or equivalent experience
Experience managing major technology investments, vendors, and global transformation programs; payments, fintech, financial services, or another highly regulated environment is strongly preferred
An advanced degree is preferred
Benefits
Competitive holiday allowance
401K Matching program
Group Insurance Benefits
Flexible working model
Employee Assistance Program
Company Overview
Nuvei is a fintech company offering a modular, flexible platform for payments, payouts, card issuing, banking, and risk/fraud management. It was founded in 2003, and is headquartered in Montréal, Quebec, CAN, with a workforce of 1001-5000 employees. Its website is https://nuvei.com.
Company H1B Sponsorship
Nuvei has a track record of offering H1B sponsorships, with 3 in 2024, 2 in 2023, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.

## Artifact metadata

- Resume: https://bit.ly/3UttSts
- Cover letter: https://bit.ly/3Uq5usI
- Validation: PASS — 3-page resume (952 words), 1-page cover letter (231 words); PDF geometry, annotations, bounds, and links verified.
- Google Drive used: No