8 дней назад
Principal Engineer (AI)
84 624 - 105 780GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Engineer (AI): Building domain-specific agents, productivity tooling, and knowledge repositories for internal AI-driven employee productivity and process automation with an accent on agentic coworking technologies, operational MVPs, and safe automation aligned with business procedures. Focus on designing reusable platform capabilities, embedding agents into business processes, measuring outcomes, and providing hands-on technical leadership.
Location: Hybrid, with at least two days per week or 40% of working time at an office in Edinburgh, Bristol, Leeds, or Manchester, United Kingdom
Salary: £84,624–£105,780 per year, depending on location and experience
Company
is a major financial services organisation developing data, AI, and digital capabilities for the future of finance.
What you will do
- Lead the engineering of domain-specific agents, tools, and automations from prototype through operational MVP.
- Design reusable capabilities for the AI Productivity Lab platform, including skills, tools, and operating procedure assets.
- Evaluate agentic coding and coworking technologies and open-source solutions to accelerate delivery.
- Partner with business stakeholders and line-of-business champions to embed agents into processes, SOPs, and tooling.
- Measure business outcomes and provide technical leadership through coaching, mentoring, code reviews, and stakeholder engagement.
Requirements
- Proven experience leading technology solution delivery in complex production environments with ownership of business outcomes.
- Extensive knowledge of solutions architecture, software engineering, and business process automation.
- Hands-on experience with agentic coding or coworking technologies and ecosystems, such as Claude Code, Cowork, OpenClaw, or GitHub Copilot.
- Strong understanding of operational processes and risk management; financial services experience is preferred.
- Ability to influence stakeholders, guide teams through ambiguity, and turn productivity opportunities into technical direction and MVPs.
- Ability to work in a hybrid arrangement from an office in Edinburgh, Bristol, Leeds, or Manchester for at least two days per week or 40% of working time.
Nice to have
- Expertise in knowledge management, enterprise ontology, or knowledge graph technology.
- Business process optimisation experience, including Business Process Modelling or Lean Six Sigma.
- Experience with applied research and experimentation.
- Advanced degree in computer science, artificial intelligence, or a related subject.
Culture & Benefits
- Inclusive workplace focused on diversity, belonging, and development.
- Pension contribution of up to 15%.
- Annual performance-related bonus and share schemes, including free shares.
- 30 days of holiday plus bank holidays.
- Wellbeing initiatives and generous parental leave policies.
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