About Infosys:
Infosys is a global leader in next-generation digital services and consulting. Over 320,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help you navigate your next.
Recognized as the #1 Top Employer in Australia for the second year in a row, Infosys offers a workplace where careers grow with purpose. As an AI‑first organization, we empower our people to work on next‑generation technologies, continuously learn, and create impact at scale—supported by a culture rooted in care, inclusion, and excellence.
▶️Join Infosys and be part of a culture that’s not just promised—it’s certified. #TopEmployer2026 #ThriveAtInfosys

Location: Sydney or Melbourne
Salary: Salary: AUD 212,505– 246,693 Annual Gross
Please Note: The above salary range is only indicative and maybe subject to suitable enhancements, based on internal company process.

Position Description:
We are seeking an accomplished Senior / Principal Architect (AI) to lead enterprise-scale AI transformation initiatives and serve as a trusted advisor to senior business and technology stakeholders. This role combines deep expertise in AI, enterprise architecture, cloud, data, and digital transformation to help clients define and execute their future-state technology strategies.

As a strategic architecture leader, you will partner with C-suite executives, business leaders, and engineering teams to shape AI adoption roadmaps, target-state architectures, governance frameworks, and modernization strategies. You will drive the design and implementation of secure, scalable, and responsible AI solutions that accelerate business value and enable sustainable competitive advantage.

The successful candidate will possess a strong blend of consulting, architecture, and transformation leadership experience, with a proven ability to influence executive decision-making, lead complex technology programs, and deliver impactful outcomes across large-scale enterprise environments. You will play a pivotal role in helping organizations leverage AI, cloud, data, and modern engineering practices to transform their business and technology landscape.

Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to contact your recruiter to learn more about how this works in practice.

Essential Responsibilities:

AI Transformation Strategy

• Define enterprise AI transformation vision, roadmap, and target-state architecture.
• Identify AI use cases and transformation opportunities across business and technology 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.
• Develop modernization roadmaps for legacy platforms.
• Drive architecture governance and design assurance.
• Establish architecture standards, reference architectures, and reusable patterns.

• Architect enterprise AI platforms leveraging LLMs, Agentic AI, RAG, Knowledge Graphs, and AI orchestration frameworks.
• Define AI operating models, model lifecycle management, and responsible AI controls.
• Design AI-ready data architectures including Data Fabric, Lakehouse, and Knowledge Platforms.
• Drive integration of enterprise knowledge with AI ecosystems.

• Drive adoption of AI-assisted software engineering.
• Establish platform engineering and developer productivity initiatives.
• Lead modernization using cloud-native and event-driven architectures.
• Promote reliability, observability, resilience, and security-by-design practices.

• Partner with CTOs and business executives on transformation strategy.
• Conduct maturity assessments and capability gap analyses.
• Develop business cases, value realization frameworks, and investment roadmaps.
• Lead executive workshops and transformation steering committees.

• Create AI transformation assets, accelerators, frameworks, and industry solutions.
• Mentor architects and engineering leaders.
• Represent the organization in client forums and industry events.
• Publish reusable assets and best practices.

• Generative AI and LLM architectures
• Agentic AI systems
• RAG architectures
• AI orchestration frameworks
• Prompt engineering and evaluation frameworks
• AI governance and Responsible AI

• TOGAF or equivalent Enterprise Architecture framework
• Business and Technology Architecture
• Solution Architecture
• Architecture governance
• Technology strategy and roadmapping

• Azure/ AWS / GCP
• Kubernetes and Container ecosystems
• DevSecOps and Platform Engineering
• API, Event-Driven, and Microservices Architecture
• Infrastructure as Code

• SRE
• Observability Platforms
• Resilience Engineering
• Performance Engineering
• Operational Excellence

• Banking & Payments domain expertise
• Digital Channels and Customer Platforms
• Core Banking modernization
• FinOps
• Quantum of Experience in AI-enabled SDLC transformation
• Product Operating Model experience

• TOGAF
• Azure Solutions Architect Expert
• Azure AI Engineer Associate
• AWS Solutions Architect Professional
• Cloud Architect Certifications
• AI/ML Certifications
• SRE Foundation
• Kubernetes Certifications
• Anthropic Certifications

• 15+ years of overall 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
• BS degree in Mechanical Engineering, Engineering Technology, or a special combination of education and experience with demonstrated accomplishments.
• Able to communicate in English.

• Income Protection Insurance
• Paid Parental and Volunteer leaves
• Employee Assistance Program (EAP)
• Flexible working arrangements (hybrid, reviewed case-by-case basis)
• Health Insurance Discount and Well-being Program
• Access to Fitness and Gym Memberships
• Salary packaging and novated leasing