招聘

Principal Technology Architect- Microsoft Data & AI Platform
London, United Kingdom
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On-site
·
Full-time
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1d ago
- Role: Principal Architect
- Data, AI & Platform Architecture (UK Public Healthcare)
Technology: Microsoft Data & AI Platform
Location: London, UK
Compensation: Competitive (including bonus)
Job Description:
Today, the corporate landscape is dynamic, and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.
At Infosys, we assure that your career will never stand still, we will inspire you to build what's next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.
Role Overview:
We are seeking a highly experienced Principal Architect to lead the architecture, design, and delivery of a modern, scalable, and secure data and AI ecosystem within large, regulated enterprise environments. This is a multi year transformation role focused on enabling data driven decision making, advanced analytics, and AI led insights at scale.
The role combines hands on architectural leadership for complex programmes with broader practice responsibilities, including solutioning during pre sales, thought leadership in data and AI, and mentoring senior architects across a global delivery organisation.
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Key Responsibilities
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Own the end to end architecture and delivery of strategic data and AI platform programmes, from early solution shaping through implementation.
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Collaborate with business stakeholders, enterprise architects, delivery leaders, and partners to define and execute the enterprise data and AI strategy.
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Architect and guide implementation using the Microsoft Azure Data & AI stack, covering analytics, integration, governance, and data management.
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Define reference architectures, data models, and integration patterns across enterprise domains (operational, analytical, workforce, HR).
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Lead AI architecture and AI engineering, enabling predictive, operational, and decision support use cases while embedding responsible AI and governance.
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Establish and govern data management, quality, security, and compliance frameworks aligned with regulatory and privacy requirements.
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Lead solutioning and architecture during pre sales, including RFP responses, target and transition architectures, transformation roadmaps, and client workshops.
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Provide hands on architectural leadership within a global delivery model, ensuring consistency, quality, and alignment across geographically distributed teams.
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Mentor and develop senior architects and technical leaders, contributing to design authority and architectural best practice.
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Required Qualifications
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Multiple years' experience in data, analytics, and platform architecture, delivering large scale enterprise transformations.
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Strong hands on experience with Microsoft Azure data technologies.
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Strong experience in AI architecture and AI engineering, including end to end AI/ML solution design covering data pipelines, feature engineering, model lifecycle, deployment, and MLOps.
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Experience delivering production grade AI solutions in regulated or complex environments, with awareness of responsible AI, governance, and explainability.
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Deep knowledge of modern data and AI architectures, including lakehouse, data mesh, cloud native integration, and AI enabled analytics patterns.
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Proven experience leading or supporting architecture and solution design during pre sales and large bids.
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Excellent communication skills, with the ability to influence senior technical and non technical stakeholders.
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Demonstrated ability to lead, mentor, and develop globally distributed, cross functional teams.
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Preferred Experience
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Experience in HRMS and workforce data transformation, ideally involving Oracle HCM or similar platforms.
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Familiarity with industry data standards, interoperability patterns, and enterprise governance frameworks.
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Experience operating in multi vendor and multi cloud environments.
Overview:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation.
With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
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关 于Infosys

Infosys
PublicInfosys Limited is an Indian multinational technology company that offers information technology, business consulting, and outsourcing services. Founded in 1981 by seven engineers, the company is headquartered in Bengaluru and considered one of the Big Six Indian IT companies.
10,001+
员工数
Bengaluru
总部位置
$72B
企业估值
评价
3.9
10条评价
工作生活平衡
3.7
薪酬
2.8
企业文化
4.1
职业发展
3.2
管理层
3.4
75%
推荐给朋友
优点
Flexible work hours and remote work options
Good learning opportunities and training programs
Collaborative environment and supportive colleagues
缺点
High workload and long hours during deadlines
Low salary and uncompetitive pay
Limited career advancement and growth opportunities
薪资范围
220,463个数据点
Junior/L3
Junior/L3 · Technology Analyst
26,472份报告
$79,728
年薪总额
基本工资
$79,728
股票
-
奖金
-
$62,047
$102,446
面试经验
2次面试
难度
3.5
/ 5
时长
14-28周
体验
正面 0%
中性 50%
负面 50%
面试流程
1
Application Review
2
Online Assessment
3
Technical Interview
4
HR Round
5
Final Decision
常见问题
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Problem Solving
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