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Infosys

Global digital services and consulting provider

AI Thought Leader Enterprise Architect - CMT

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listed

About the Job

Requirements

  • 15+ years of experience in Enterprise Architecture, Digital Transformation, Technology Strategy, or Innovation Leadership roles.
  • 10+ years of experience delivering enterprise-scale AI, Analytics, Automation, or Data Transformation initiatives.
  • A proven track record defining and executing enterprise AI strategies for large and complex organizations.
  • Experience advising executive leadership teams on technology investments and digital transformation programs.
  • Demonstrated success leading cross-functional transformation initiatives involving business and technology stakeholders.
  • Experience operating within highly regulated and large-scale enterprise environments.
  • Deep expertise in Enterprise Architecture, Artificial Intelligence, Generative AI, Agentic AI, Data & Analytics, Digital Transformation, and Operating Model Design.
  • Exceptional executive communication and thought leadership capabilities.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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 key performance indicators for AI initiatives.
  • Build investment cases and executive proposals for major AI transformation programs.
  • Track value realization to ensure measurable business outcomes are achieved.
  • Serve as a trusted advisor to Board members, C-suite executives, and senior business leaders.
  • Guide strategic decision-making on AI investments, risks, and transformation opportunities.
  • Facilitate executive workshops and innovation forums to shape AI strategy and priorities.
  • Present complex AI concepts and architecture strategies in a business-friendly manner.
  • Influence enterprise-wide adoption and organizational alignment around AI-driven transformation.
  • Lead enterprise AI innovation programs and emerging technology exploration initiatives.
  • Establish strategic partnerships with technology vendors, research institutions, startups, academia, and industry bodies.
  • Drive Proof of Concepts (PoCs), pilot programs, and innovation accelerators that validate new AI capabilities.
  • Represent the organization at industry conferences, executive forums, and thought leadership events.
  • Publish strategic viewpoints, white papers, and innovation frameworks that position the organization as a leader in AI transformation.
  • Monitor global technology trends and continuously evaluate emerging AI opportunities.

About the Company

Infosys

Global digital services and consulting provider

Infosys is a global provider of digital services and consulting. It helps organizations with software development, cloud solutions, data and analytics, automation, and AI-powered platforms to transform their technology and business operations. The company primarily delivers these capabilities through client projects, outsourcing, and managed services, rather than selling a single standalone product. Infosys differentiates itself by its long-standing global reach (present in over 50 countries) and its breadth of offerings, including a dedicated consulting arm and a business process outsourcing unit, which together cover strategy, design, development, and ongoing operations. Its goal is to guide clients through digital transformation and AI adoption at scale, helping them improve efficiency, agility, and competitiveness over the long term.

Company size
10,001+
Company stage
IPO
Headquarters
Bengaluru, India
Founded
1981

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