Senior AI Enterprise Architect

Infosys Limited; Sydney; Hybrid; AUD 213.000 - 247.000; Vollzeit

Benefits dieser Stelle

Income Protection Insurance

Paid Parental and Volunteer leaves

Employee Assistance Program (EAP)

Flexible working arrangements (hybrid)

Health Insurance Discount

Well-being Program

Fitness & Gym Memberships

Salary packaging & novated leasing

Zusammenfassung

Infosys is seeking a Sr/Principal Architect (AI) to guide enterprise AI programs from strategy to scalable implementation. You will define roadmaps, lead design workshops, and shape target AI architectures for diverse sectors while ensuring governance and responsible AI practices.

You will collaborate with CxOs and technical leaders, oversee cloud-native platforms, and mentor teams to deliver high-impact AI solutions across banking, manufacturing, retail, telecom, and public sector domains.

Qualifikationen

• Proven experience as an Enterprise/Principal Architect or equivalent senior advisory role in AI, cloud, or digital transformation.
• Mastery across multiple AI domains: generative AI, agentic systems, predictive analytics, and intelligent automation.
• Strong understanding of AI infrastructure, including GPUs, model serving, orchestration, data pipelines, and observability tooling (e.g., Ray, Kubernetes, MLflow).
• Hands-on knowledge of cloud platforms (AWS, Azure, GCP) and hybrid architectures for AI workload optimization.
• Familiarity with enterprise governance, capacity planning, and FinOps considerations for large-scale AI deployments.
• Excellent communication and storytelling skills to engage both executive and technical stakeholders.
• Cross-industry perspective with consulting or advisory experience across at least three major verticals.
• Advanced degree in Computer Science, AI/ML, or related field preferred; additional executive education in strategy or innovation is a plus

Aufgaben

• Strategic Advisory: Partner with CxOs and senior technology leaders to define AI transformation roadmaps, enterprise AI strategy, and operating models for responsible and sustainable AI adoption.
• Ideation and Design Leadership: Facilitate design thinking sessions and co-innovation workshops with clients to identify impactful AI opportunities across business domains.
• Architecture and Solution Design: Translate business and data needs into target-state AI architectures — covering model lifecycle, agentic systems design, and cloud-native AI platforms.
• Infrastructure and Capacity Planning: Design AI infra blueprints spanning data, compute, GPU/TPU capacity, observability, and security, ensuring optimal cost-performance balance and resilience.
• Cross-Industry Engagement: Lead solutioning across key verticals such as financial services, manufacturing, retail, telecom, and public sector, tailoring architectures to industry-specific needs.
• Governance and Compliance: Establish frameworks for responsible AI, model risk management, and regulatory compliance.
• Thought Leadership: Represent the firm in client advisory councils, external forums, and conferences; publish thought leadership on enterprise AI architecture and innovation practices.
• Team Mentorship: Guide solution architects and engineers in designing, deploying, and optimizing modern AI systems leveraging LLMs, multi-agent frameworks, and MLOps pipelines.

Kenntnisse

Enterprise Architecture

AI/Cloud Transformation

Generative AI

Communication Skills

Stakeholder Engagement

Cross-Industry Experience

Team Mentorship

Ausbildung

Master's degree in Computer Science/AI

BS in Mechanical Engineering

Tools

Ray

Kubernetes

MLflow

AWS

Azure

GCP

Jobbeschreibung

Infosys is seeking a Sr/Principal Architect (AI) to guide enterprise AI programs from strategy to scalable implementation. You will define roadmaps, lead design workshops, and shape target AI architectures for diverse sectors while ensuring governance and responsible AI practices.

You will collaborate with CxOs and technical leaders, oversee cloud-native platforms, and mentor teams to deliver high-impact AI solutions across banking, manufacturing, retail, telecom, and public sector domains.