Engineering Lead FinTech AI

HireHi; United States; Remote; USD 159,000 - 239,000; Full time

Benefits offered by this job

Employee discount

Employee sample sales

25 Days of paid annual leave + extra

Discretionary bonus scheme

Private medical care

Flexible benefits allowance

Job summary

ASOS ищет руководителя команды инженеров AI, который будет набора и наставлять инженеров, устанавливать цели и следить за карьерным ростом, балансируя загрузку. Вы будете направлять техническое направление, архитектуру и стандарты, обеспечивая качество кода, тестирование и безопасную разработку.

Обязанности включают создание и внедрение агентных AI-решений, интеграции с платформами (D365 Finance and Operations, ReconArt, Concur, ServiceNow), работу через Azure DevOps и контроль за бюджетом и

Qualifications

• Опыт руководства инженерами и управлением производительностью
• Умение устанавливать техническое направление и стандарты
• Опыт владения проектами и отчетностью перед руководством
• Практический опыт разработки агентных AI-решений и LLM-фреймворков
• Навыки работы в Azure, CI/CD, мониторинге и безопасной разработке

Responsibilities

• Line-manage, develop, hire, and onboard AI Engineers; set objectives, support career progression, manage performance, and balance workload
• Coach and mentor engineers through design reviews, pairing, and code reviews, and provide constructive feedback
• Own the team’s technical direction, architecture, reusable patterns, and reference solutions
• Set and uphold engineering standards for code quality, testing, evaluation, peer review, CI/CD, and secure-by-default practices
• Make build-or-buy decisions and monitor running costs, performance, and technical debt
• Write code, prototype, unblock the team, and take on the most challenging builds
• Design, build, and ship production-ready agentic AI and automation solutions that plan, reason, use tools, retrieve information, act across systems, and hand work back to people when appropriate
• Build integrations with platforms including Microsoft Dynamics 365 Finance and Operations, ReconArt, Concur, ServiceNow, and the data platform; use retrieval augmented generation and grounding to ensure accuracy against business data
• Own end-to-end delivery, plan and prioritise the backlog, manage capacity and dependencies, and move work from proof of concept into production
• Run the team’s work through Azure DevOps and follow ASOS delivery processes, including governance, change control, and release cadence
• Support live agents and automations; establish monitoring, alerting, runbooks, and clear ownership, and lead incident response
• Work with Finance, Commercial, Buying, and Merchandising teams to understand their processes, identify worthwhile automation, and explain options clearly
• Build within the central AI team’s policies, approved tooling, and guardrails; coordinate with that team and the AI centre of excellence
• Track and evidence benefits, including time saved, manual effort removed, and shorter cycle times; report progress and risks to senior stakeholders

Skills

Line-managing engineers

Technical leadership

AI engineering

Azure DevOps

CI/CD

Python/C#.NET

APIs & services

Agentic AI / RAG

Stakeholder comms

Tools

Microsoft Copilot Studio

Azure AI Foundry

Azure OpenAI

Semantic Kernel

LangChain

LangGraph

AutoGen

CrewAI

Power Platform

Logic Apps

RPA

Azure DevOps

Microsoft Dynamics 365 Finance and Operations

ReconArt

Concur

ServiceNow

Job description

Описание:

ASOS is an online fashion retailer serving customers around the world. Its platform is used by millions.

Задачи:

Line-manage, develop, hire, and onboard AI Engineers; set objectives, support career progression, manage performance, and balance workload and capacity Coach and mentor engineers through design reviews, pairing, and code reviews, and provide constructive feedback Own the team’s technical direction, architecture, reusable patterns, and reference solutions Set and uphold engineering standards for code quality, testing, evaluation, peer review, CI/CD, and secure-by-default practices Make build-or-buy decisions and monitor running costs, performance, and technical debt Write code, prototype, unblock the team, and take on the most challenging builds Design, build, and ship production-ready agentic AI and automation solutions that plan, reason, use tools, retrieve information, act across systems, and hand work back to people when appropriate Build integrations with platforms including Microsoft Dynamics 365 Finance and Operations, ReconArt, Concur, ServiceNow, and the data platform; use retrieval augmented generation and grounding to ensure accuracy against business data Own end-to-end delivery, plan and prioritise the backlog, manage capacity and dependencies, and move work from proof of concept into production Run the team’s work through Azure DevOps and follow ASOS delivery processes, including governance, change control, and release cadence Support live agents and automations; establish monitoring, alerting, runbooks, and clear ownership, and lead incident response Work with Finance, Commercial, Buying, and Merchandising teams to understand their processes, identify worthwhile automation, and explain options clearly Build within the central AI team’s policies, approved tooling, and guardrails; coordinate with that team and the AI centre of excellence Track and evidence benefits, including time saved, manual effort removed, and shorter cycle times; report progress and risks to senior stakeholders

Требования:

Experience line-managing engineers, including one-to-ones, development, performance management, and hiring, while remaining technically hands-on Track record of setting technical direction and engineering standards and improving team output Experience owning team delivery, including planning, prioritisation, capacity management, and reporting to senior stakeholders Comfortable delivering within a framework owned by another team, collaborating with a central or platform team, and pushing back constructively when needed Demonstrable experience designing and building agentic AI solutions that are live and actively used, not just pilots Practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen, or CrewAI Knowledge of agent patterns including tool calling, orchestration, memory, multi-agent workflows, and retrieval augmented generation Experience with workflow and process automation tools such as Power Platform, Logic Apps, or RPA, and evaluating agents for accuracy, guardrails, reliability, and cost Strong software or data engineering background, solid coding skills in Python or C#/.NET, and experience building and integrating APIs and services Experience deploying and operating cloud solutions, ideally on Azure, with CI/CD, testing, monitoring, and observability; security- and data-conscious when handling sensitive financial data Comfortable working with non-technical stakeholders, running discovery, explaining technical ideas simply, and influencing at senior level with an outcome-focused approach

Будет плюсом:

finance systems or processes such as accounts payable, reconciliation, or financial control; Microsoft Dynamics 365 Finance and Operations; retail, ecommerce, or fashion experience, particularly in commercial, buying, merchandising, or supply chain; SQL, data modelling, Databricks, or Microsoft Fabric; responsible AI and governance, Model Context Protocol (MCP), or ITIL-based service management

Условия:

Локация: Лондон Employee discount and employee sample sales 25 Days of paid annual leave plus an extra celebration day Discretionary bonus scheme Private medical care scheme Flexible benefits allowance, available as extra cash or towards other benefits Personalised learning and in-the-moment development opportunities