Principal Software Engineer (AI Strategy and Enablement)
Контакты
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
aiautomationci cdrestmachine learningdatabasesdistributed systemsdata governanceresponsible ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль дает возможность влиять на внедрение ИИ в крупной платежной компании, но сочетание стратегии, практической разработки и изменений во всей организации может сделать задачи очень масштабными.
?Широкая зона ответственности
Влияние на стратегию ИИ
Критичная инфраструктура
Актуальная сфера
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Software Engineer (AI Strategy and Enablement) (AI and Payments): Defining and implementing AI strategy across a high-throughput payments engineering organisation with an accent on AI enablement, responsible adoption, and production-scale engineering. Focus on building reusable AI standards and architectures, improving developer productivity and platform modernisation, and solving performance and scalability challenges across distributed systems and databases.
Location: Hybrid working, Belfast, UK
Company
Global payments technology organisation operating high-throughput, mission-critical systems where 100% uptime is the standard.
What you will do
Define and lead AI strategy across the engineering organisation.
Identify and prioritise high-impact AI initiatives across product development, developer productivity, quality engineering, operations, and platform modernisation.
Build AI standards, reusable patterns, and reference architectures for secure and confident adoption.
Develop internal AI communities, coach engineers toward AI-first thinking, and champion responsible adoption.
Act as a hands-on technical authority, mentor, and organisational change agent.
Requirements
Principal-level hands-on engineering experience building and scaling production software and AI-powered products.
Experience with AI and ML operational practices, including CI/CD, automation, and data governance.
Understanding of responsible AI, including governance, security, privacy, testing, monitoring, and human oversight.
Experience resolving performance and scalability issues across distributed architectures and databases.
Strong software design foundations, including databases, design patterns, and web services such as SOAP and REST.
Exceptional communication and stakeholder-management skills.
Experience with Agile Scrum or Lean Kanban.
Degree in Computer Science, Artificial Intelligence, or a related field.
Culture & Benefits
Hybrid working based in Belfast.
Opportunity to shape AI adoption across a major engineering organisation while remaining hands-on.
Focus on pragmatic, secure, and measurable AI adoption.
Hiring process
Contact Nick Napier directly on LinkedIn or submit a CV through the application link.
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