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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата не указанаСовременный стекПонятная зона ответственностиРабота с ИИ
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Engineering Lead (FinTech AI) (agentic AI and automation): Building and operating production-ready agentic AI solutions for Finance, Commercial, Buying and Merchandising operations with an accent on team leadership, technical direction and integrations with business systems. Focus on designing agents that plan, reason, retrieve information and act across platforms, while establishing monitoring, delivery standards and operational ownership.
Location: London, UK
Company
hirify.global operates technology teams supporting Finance, Commercial, Buying and Merchandising functions in fashion and fintech-related operations.
What you will do
Line manage, hire, coach and develop a team of AI Engineers.
Own the team's technical direction, architecture, reusable patterns and engineering standards.
Design, build and ship production-ready agentic AI and automation solutions.
Integrate AI agents with Microsoft Dynamics 365 Finance and Operations, ReconArt, Concur, ServiceNow and the data platform.
Own delivery from problem discovery and backlog planning through production release and support.
Operate live agents and automations with monitoring, alerting, runbooks and incident response.
Requirements
Hands-on engineering leadership experience with continued individual contribution.
Experience building, deploying and supporting AI engineering or automation solutions.
Ability to design agents that plan, reason, use tools, retrieve information and hand work back to people when appropriate.
Experience with retrieval-augmented generation, grounding, integrations and production operations.
Experience setting standards for code quality, testing, evaluation, peer review, CI/CD and secure engineering.
Ability to work in London, UK.
Culture & Benefits
Work closely with Finance, Commercial, Buying and Merchandising stakeholders.
Build within the policies, approved tooling and guardrails established by the central AI team.
Collaborate with the central AI team and AI centre of excellence.
Measure delivered impact through time saved, manual effort removed and reduced cycle times.
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