Principal Technology Architect- Microsoft Data & AI Platform

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.

Key Responsibilities

• Own the end-to-end architecture and delivery of strategic data and AI platform programmes, from early solution shaping through implementation.
• Collaborate with business stakeholders, enterprise architects, delivery leaders, and partners to define and execute the enterprise data and AI strategy.
• Architect and guide implementation using the Microsoft Azure Data & AI stack, covering analytics, integration, governance, and data management.
• Define reference architectures, data models, and integration patterns across enterprise domains (operational, analytical, workforce, HR).
• Lead AI architecture and AI engineering, enabling predictive, operational, and decision support use cases while embedding responsible AI and governance.
• Establish and govern data management, quality, security, and compliance frameworks aligned with regulatory and privacy requirements.
• Lead solutioning and architecture during pre-sales, including RFP responses, target and transition architectures, transformation roadmaps, and client workshops.
• Provide hands-on architectural leadership within a global delivery model, ensuring consistency, quality, and alignment across geographically distributed teams.
• Mentor and develop senior architects and technical leaders, contributing to design authority and architectural best practice.

Required Qualifications

• Multiple years' experience in data, analytics, and platform architecture, delivering large scale enterprise transformations.
• Strong hands-on experience with Microsoft Azure data technologies.
• 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.
• Experience delivering production grade AI solutions in regulated or complex environments, with awareness of responsible AI, governance, and explainability.
• Deep knowledge of modern data and AI architectures, including lakehouse, data mesh, cloud native integration, and AI enabled analytics patterns.
• Proven experience leading or supporting architecture and solution design during pre-sales and large bids.
• Excellent communication skills, with the ability to influence senior technical and non-technical stakeholders.
• Demonstrated ability to lead, mentor, and develop globally distributed, cross-functional teams.

Preferred Experience

• Experience in HRMS and workforce data transformation, ideally involving Oracle HCM or similar platforms.
• Familiarity with industry data standards, interoperability patterns, and enterprise governance frameworks.
• Experience operating in multi-vendor and multi-cloud environments.

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.