Infosys Consulting is the worldwide management and IT consultancy unit of the Infosys Group (NYSE: INFY), a global advisor to leading companies for strategy, process engineering and technology-enabled transformation programs. We partner with clients to design and implement customized solutions to address their complex business challenges, and to help them in a post-up-to-date ERP world. By combining innovative and human-centric approaches with the latest technological advances, we enable organizations to reimagine their future and create sustainable and lasting business value. A pioneer in breaking down the barriers between strategy and execution, Infosys Consulting delivers superior business value to its clients by advising them on strategy and process optimisation as well as IT-enabled transformation. To find out how we go beyond the expected to deliver the exceptional, visit us at www.infosysconsultinginsights.com.

Position Overview

We are seeking a visionary and highly influential Senior AI Thought Leader Enterprise Architect to lead the organization's enterprise-wide Artificial Intelligence strategy, architecture, governance, and transformation agenda. This executive-level role will shape how AI is adopted, governed, and scaled across the enterprise, driving sustainable business value, operational excellence, innovation, and competitive differentiation.

As a strategic technology leader, the Senior AI Thought Leader Enterprise Architect will define the future-state architecture for AI and intelligent automation capabilities while partnering with C-suite executives, business leaders, technology teams, and external ecosystem partners to unlock enterprise-wide transformation opportunities.





The ideal candidate combines deep expertise in Enterprise Architecture, Artificial Intelligence, Generative AI, Agentic AI, Data & Analytics, Digital Transformation, and Operating Model Design with exceptional executive communication and thought leadership capabilities.

This role serves as the principal advisor on AI strategy, innovation, governance, adoption, and investment priorities, ensuring the organization leverages AI responsibly, ethically, securely, and at scale.

Key Responsibilities

Enterprise AI Strategy & Vision

- Define and champion the organization's long-term AI vision, strategy, and enterprise adoption roadmap.
- Establish AI as a strategic business capability that drives measurable outcomes across operations, customer experience, innovation, workforce productivity, and revenue growth.
- Develop an enterprise-wide AI transformation framework aligned with corporate objectives and digital transformation priorities.
- Identify emerging AI trends, industry disruptions, and technology opportunities that can create sustainable competitive advantage.
- Create multi-year AI capability roadmaps encompassing people, processes, data, platforms, governance, and operating models.
- Drive executive alignment around AI investments, priorities, and transformation programs.

Enterprise AI Architecture Leadership





- Design and Develop architectural blueprints, reference architectures, standards, design patterns, and governance frameworks.
- Ensure interoperability between AI, enterprise applications, cloud platforms, data ecosystems, and operational technologies.
- Establish scalable, secure, and resilient AI foundations supporting enterprise-wide adoption.
- Lead architecture reviews, governance forums, and executive design authorities.

AI Governance, Risk & Responsible AI

- Define enterprise AI governance frameworks covering ethical, regulatory, legal, security, privacy, and compliance requirements.
- Establish AI operating policies, controls, accountability structures, and model governance practices.
- Develop Responsible AI principles aligned with organizational values and risk management obligations.
- Lead the development of AI risk assessment methodologies and assurance frameworks.
- Ensure transparency, explainability, fairness, and trustworthiness across AI-enabled solutions.
- Collaborate with Legal, Risk, Security, Compliance, and Audit teams to manage AI-related risks effectively.

Business Transformation & Value Realization

- Identify high-value AI use cases capable of transforming business performance, customer engagement, employee productivity, and operational effectiveness.
- Prioritize initiatives based on strategic value, business impact, implementation feasibility, and return on investment.
- Drive the integration of AI into core business processes and decision-making workflows.
- Establish business value measurement frameworks and KPIs for AI initiatives.
- Build investment cases and executive proposals for major AI transformation pro

📌 AI Thought Leader Enterprise Architect (Sydney)
🏢 Infosys Singapore & Australia
📍 Sydney