招聘
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Position Title: Tech Ops
- Senior – Digital Engineering Operations – AI / Automation Engineer
About Global Delivery Services
Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda.
Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.
Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.
Enablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.
Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.
The Opportunity
As a Senior in EY GDS Tech Ops practice, you will design, build, and deploy intelligent systems that streamline business and IT Operational processes by integrating Artificial Intelligence (LLMs, NLP, Vision) with automation tools (RPA, APIs). You will identify opportunities, build and operationalize AI, and automation solutions, and ensuring alignment with EY’s quality standards and client expectations. This role requires a senior developer with experience in building, deploying and managing AI & automation solution in managed services engagements.
Your Key Responsibilities
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Responsible for decision-making, optimizing processes, resource management, and overseeing team management as needed for task execution.
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Accountable for allocating personnel, supervising team members, assigning tasks, ensuring that the team has the necessary tools and support to succeed in their roles and optimizing and evaluating their performance to meet organizational goals.
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Design and develop AI-powered automation workflows
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Integrate LLMs (e.g., GPT), NLP, and computer vision models into existing systems via APIs.
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Identify, analyse, and automate repetitive tasks across the life cycle of operations and engineer.
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Write custom scripts (mostly Python) to connect disparate platforms and build automation logic.
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Monitor, maintain, and debug automated workflows to ensure reliability and high performance.
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Create technical documentation and best-practice guidelines for deployed automation solutions.
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Collaborate with AI Platform team to identify, integrate and manage AI and point solutions into the AI Platforms.
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Collaborate with AI, Automation, Operations, Engineering, and business stakeholders to identify, build, and operationalize AI and automation solutions.
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Drive adoption of AI, automation, tools and accelerators across engagements and practices.
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Support business development efforts involving automation & AI solution including proposals, presentations, and client workshops.
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Ensure compliance with EY’s risk management and security standards.
Skills and attributes for success
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Strong knowledge of Python and experience with API integration.
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Familiarity with RPA tools like Ui Path, Power Automate, or Automation Anywhere.
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Ability to analyse complex processes and design automated solutions.
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Experience building AI and automation solutions & tools in managed services engagements is a plus.
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Understanding of ITSM, and ITIL methodologies is a plus.
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Excellent communication and ability to collaborate with cross-functional teams to identify automation opportunities.
To qualify for the role, you must have
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Bachelor’s or Master’s degree in computer science, Engineering, or related field.
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5+ years of overall experience, with at least 2 years in developing, implementing and managing AI & automation solutions and tools.
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Experience with LLMs, RAG architecture, NLP frameworks, AI Ops, low-code tools and scripting languages (Python, JavaScript/TypeScript)
What we look for:
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Enthusiastic learners with a passion for Python and experience with API integration & RPA tools like Ui Path, Power Automate
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Problem solvers with a proactive approach to troubleshooting and optimization.
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Team players who can collaborate effectively in a remote or hybrid work environment.
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Detail-oriented professionals with strong documentation skills.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
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Our Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost.
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Professional Development: From entry-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship.
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People and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing.
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Benefits: Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting-edge learning opportunities that empower you to continually grow and excel in your professional and personal development.
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How to Apply: If you are passionate to join us and are aligned with our commitment to building a better working world, we invite you to apply by completing our user-friendly form with personal and professional information and by providing your consent to data privacy.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
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关于EY

EY
PublicEY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.
10,001+
员工数
London
总部位置
评价
3.4
10条评价
工作生活平衡
2.3
薪酬
3.7
企业文化
4.1
职业发展
3.8
管理层
3.2
65%
推荐给朋友
优点
Good learning opportunities and career advancement
Supportive culture and kind people
Professional environment and good benefits
缺点
Long working hours and poor work-life balance
Hectic and taxing work environment
Limited support for interns and technical growth
薪资范围
31,254个数据点
Mid/L4
Mid/L4 · Operations Research Analyst
1,738份报告
$142,571
年薪总额
基本工资
$136,899
股票
-
奖金
$5,673
$100,128
$203,912
面试经验
7次面试
难度
3.0
/ 5
时长
14-28周
录用率
57%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
常见问题
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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