Senior AI Transformation Architect - Enterprise Cloud & Data

Infosys; Sydney; Hybrid; AUD 213,000 - 247,000; Full time

Benefits offered by this job

Income protection insurance

Paid parental and volunteer leaves

Employee Assistance Program (EAP)

Flexible working arrangements (hybrid)

Health insurance discount

Job summary

Infosys is seeking a Senior / Principal Architect (AI) to lead enterprise AI transformation initiatives and guide senior stakeholders. You will shape AI adoption roadmaps, target architectures, governance, and modernization strategies across cloud, data, and engineering platforms.

The role requires deep consulting and architecture leadership, with the ability to influence executive decisions, manage large programs, and deliver measurable business value in a hybrid work environment.

Qualifications

• 15+ years of technology experience.
• 5+ years in Architecture or CTO Advisory roles.
• Experience leading enterprise transformation programs in Banking, Financial Services, Insurance, Capital Markets, or Payments.
• Experience driving Cloud, Data, AI, Digital Engineering, or Modernization initiatives.

Responsibilities

• Define enterprise AI transformation vision, roadmap, and target‑state architecture.
• Identify AI use cases and transformation opportunities across domains.
• Develop AI adoption frameworks, governance models, and operating structures.
• Drive AI‑first engineering practices across delivery organizations.
• Define business, application, data, technology, and security architecture blueprints.

Skills

Generative AI

LLM architectures

Agentic AI

RAG architectures

AI governance

Azure/AWS/GCP

Kubernetes

DevSecOps

API/Microservices

Infrastructure as Code

Education

BS degree in Mechanical Engineering or related

Tools

TOGAF

Job description

Infosys is seeking a Senior / Principal Architect (AI) to lead enterprise AI transformation initiatives and guide senior stakeholders. You will shape AI adoption roadmaps, target architectures, governance, and modernization strategies across cloud, data, and engineering platforms.

The role requires deep consulting and architecture leadership, with the ability to influence executive decisions, manage large programs, and deliver measurable business value in a hybrid work environment.