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4 дня назад

Senior Lead Engineer - Advanced Engineering (AI)

84 624 - 105 780GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Lead Engineer - Advanced Engineering (AI) (Generative AI/Agentic AI): Evaluating emerging AI technologies, building operational MVPs, and enabling scalable AI-powered products and services in a regulated banking environment with an accent on RAG, tool use, guardrails, evaluation frameworks, and AI agents. Focus on leading engineering delivery, translating ambiguous business challenges into scalable solutions, and guiding teams on reliable, secure, safe, and explainable AI.

Location: Hybrid role based at one of the office sites in Manchester, Bristol, Edinburgh, or Leeds, with at least two days per week or 40% of working time in the office.

Salary: £84,624–£105,780 per year

Company

hirify.global is a major UK banking organisation developing data, AI, and technology capabilities to improve customer and colleague experiences.

What you will do

  • Identify priority business problems and adoption bottlenecks for customer-facing AI solutions in regulated environments.
  • Evaluate emerging AI technologies through applied research, experimentation, and rapid prototyping.
  • Lead the engineering and delivery of operational MVPs that can be adopted at scale.
  • Advise engineering teams, technology leaders, and business stakeholders on Generative AI and Agentic AI.
  • Coach and mentor engineers while influencing AI engineering standards, strategy, and reusable practices.

Requirements

  • Experience leading engineering teams and delivering production-grade technology in complex environments.
  • Strong software engineering expertise, including proficiency in at least two programming languages.
  • Deep applied AI/ML and Generative AI experience, including RAG, tool use, guardrails, evaluation frameworks, and AI agents.
  • Experience designing, building, and operating AI solutions in regulated environments with attention to reliability, security, safety, and explainability.
  • Strong analytical, technical leadership, stakeholder management, coaching, and mentoring skills.

Nice to have

  • Experience in regulated industries, particularly financial services.
  • Experience conducting or applying research in industry, academia, or equivalent settings.
  • Experience developing large-scale customer-facing technology and influencing standards or reusable architectures across large organisations.

Culture & Benefits

  • Hybrid working with flexibility in office attendance and working patterns where reasonable adjustments apply.
  • Up to 15% pension contribution and an annual performance-related bonus.
  • Share schemes, including free shares.
  • 30 days of holiday plus bank holidays, generous parental leave, and wellbeing initiatives.
  • Commitment to diversity, equity, inclusion, accessibility, and workplace adjustments.

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