Principal Technology Architect- AI Transformation Programs

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

Benefits offered by this job

Flexible working (hybrid)

Income protection insurance

Hybrid work arrangements

Job summary

Infosys Limited is seeking a Senior/Principal Architect (AI) to lead enterprise‑scale AI transformation programs. The role partners with C‑suite and business leaders to shape AI adoption roadmaps, target‑state architectures, and governance.

You will drive secure, scalable AI solutions and modernization across large enterprises. Hybrid work arrangements are available; strong consulting and leadership experience are essential to influence outcomes and deliver business value through cloud, data,

Qualifications

• 15+ years of technology experience.
• 5+ years in architecture or CTO advisory roles.
• Experience leading enterprise transformation programs in Banking, FS, Insurance, or Payments.
• Ability to influence executive decision‑making and drive large programs.

Responsibilities

• Define enterprise AI transformation vision, roadmap, and target state architecture.
• Identify AI use cases across business and technology domains.
• Develop AI adoption frameworks, governance models, and operating structures.
• Drive AI‑first engineering practices across delivery teams.
• Establish architecture standards, reference architectures, and reusable patterns.

Skills

Generative AI

LLM architectures

Agentic AI

RAG architectures

AI governance

Cloud architecture

Tools

Azure

AWS

GCP

Job description

Principal Technology Architect- AI Transformation Programs

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

• 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.

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.

Enterprise Architecture

• 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.

AI & Data Platforms

• 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.

Engineering Transformation

• 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.

Client Advisory & Consulting

• 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.

Innovation & Thought Leadership

• 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.

Must have Skills

AI & GenAI

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

Enterprise Architecture

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

Cloud & Engineering

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

Reliability & Operations

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

Preferred Skills

• 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

Certifications

• 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

Experience and Qualification

• 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.

In addition to compensation aligned with your role, you’ll have access to a wide range of benefits that support your health, career growth, and overall well‑being (AU)

• 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

Our recruitment and selection process

is designed to create the best match for both you and Infosys. Depending on the role, it may include an initial screening, technical or functional interviews, and conversations focused on cultural alignment and shared values. We are committed to making the experience transparent, respectful, and engaging at every step.

Allowing for adjustments for people with disability, illness, or injury, please contact our Recruitment team for adjustment either via the following email [e-mail] or call 1-866-472-0935. Alternatively, you can include your preferred method of communication in email, and someone will be in touch.

Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third‑party vendors. In the absence of a signed agreement, any submission will be deemed as non‑binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.