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Infosys

AI Architect

Infosys

. Define and champion the organization's long-term AI vision, strategy, and enterprise adoption roadmap .

Posted 9/15/2026full-timeSydney • AustraliaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in defining and executing enterprise AI strategies, with a focus on digital transformation and innovation leadership. Capable of establishing AI as a strategic business capability while ensuring compliance with ethical and regulatory standards.

Highest-signal resume keywords
Enterprise ArchitectureArtificial IntelligenceDigital TransformationExecutive CommunicationGovernance Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Strategy DevelopmentData TransformationAnalytics ImplementationRisk Assessment MethodologiesArchitecture DesignInteroperability SolutionsBusiness Value MeasurementKPI DevelopmentInnovation Program LeadershipTechnology Strategy
Soft Skills
Thought LeadershipCross-Functional CollaborationExecutive AlignmentFacilitation SkillsAdvisory Capabilities
Tools & Technologies
Cloud PlatformsData EcosystemsOperational TechnologiesAI Governance ToolsCollaboration Platforms
Industry Keywords
AI TransformationRegulatory ComplianceEnterprise ApplicationsInnovation AcceleratorsTechnology Investments

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Define and champion the organization's long-term AI vision, strategy, and enterprise adoption roadmap
  • Establish AI as a strategic business capability across operations, customer experience, innovation, workforce productivity, and revenue growth
  • Develop enterprise-wide AI transformation frameworks and multi-year capability roadmaps
  • Identify emerging AI trends, industry disruptions, and technology opportunities
  • Drive executive alignment around AI investments, priorities, and transformation programs
  • Design architectural blueprints, reference architectures, standards, design patterns, and governance frameworks
  • Ensure interoperability between AI, enterprise applications, cloud platforms, data ecosystems, and operational technologies
  • Lead architecture reviews, governance forums, and executive design authorities
  • Define AI governance frameworks covering ethical, regulatory, legal, security, privacy, and compliance requirements
  • Establish AI operating policies, controls, accountability structures, and model governance practices
  • Lead AI risk assessment methodologies and assurance frameworks
  • Identify, prioritize, and integrate high-value AI use cases into 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 programs
  • Serve as a trusted advisor to Board members, C-suite executives, and senior business leaders
  • Facilitate executive workshops and innovation forums
  • Lead AI innovation programs, PoCs, pilot programs, and innovation accelerators
  • Establish partnerships with technology vendors, research institutions, startups, academia, and industry bodies
  • Represent the organization at industry conferences and executive forums
  • Publish strategic viewpoints, white papers, and innovation frameworks
  • Monitor global technology trends and evaluate emerging AI opportunities

Requirements

What you’ll need
  • 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
  • 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

Benefits

Comp & perks
  • Diverse and inclusive workplace
  • Equal employment opportunity regardless of age, sex, disability, sexual orientation, race, religion, or belief
  • Hiring decisions based on experience, skills, and personality