7 дней назад
Principal, AI Transformation
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal, AI Transformation (AI/Finance Automation): Driving AI-led operational transformation across Legal, People, and FP&A by mapping workflows and building internal AI solutions with an accent on hands-on prototyping, workflow redesign, and responsible deployment. Focus on agentic automation, build-versus-buy decisions, reliability engineering, governance controls, and measuring adoption and business impact.
Location: London, England, United Kingdom
Company
provides an AI-powered finance automation platform for accounts payable, global payouts, procurement, expenses, corporate cards, supplier management, tax compliance, and treasury.
What you will do
- Identify operational pain points and improvement opportunities across Legal, People, and Financial Planning & Analysis.
- Map end-to-end workflows across functions and systems, focusing on handoffs, integrations, and opportunities for AI leverage.
- Prototype and deploy AI and automation solutions using approved LLMs, agent frameworks, MCP-based tooling, automation platforms, APIs, data integrations, and code.
- Provide evidence-based build-versus-buy guidance, assessing security, privacy, intellectual property, regulatory, data residency, resilience, auditability, maintenance, and exit risks.
- Advise divisional teams on technology stacks, data ownership, integration points, and where agents or automations should operate.
- Define product, risk, control, and compliance metrics, then monitor adoption, performance, incidents, and control effectiveness.
Requirements
- Hands-on experience shipping AI or automation solutions, including agents, workflow automations, integrations, or internal tools.
- Ability to write and debug scripts in Python, TypeScript, or a similar language and work with APIs and technical documentation.
- Practical experience with Claude or an equivalent frontier model, including agentic coding, sub-agents, MCP, context and prompt design, and output evaluation.
- Understanding of model limitations such as non-determinism, context limits, cost, latency, retrieval, tooling, and when conventional code is more appropriate.
- Ability to work with frontline teams, senior executives, and engineers, translating business problems into technical specifications.
- Ability to design reliable systems with access controls, testing, monitoring, audit trails, human oversight, rollback, incident response, and business continuity.
Culture & Benefits
- Collaborative environment focused on product quality, customer commitment, and practical impact.
- Flexible workplace and competitive benefits.
- Inclusive workplace with accommodations available throughout the recruitment process.
- AI and automated systems may be used for resume screening, skills assessment, and candidate matching, with the option to request human review.
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