Senior AI Solutions Architect - Cloud, Data & MLOps

Wipro; Sydney; On-site; AUD 180,000 - 260,000; Full time

Job summary

Wipro is seeking a Senior AI Solutions Architect in Sydney to design end-to-end AI architectures aligned with business objectives. You will translate complex requirements into scalable, secure architectures and lead the adoption of AI/ML platforms across cloud ecosystems.

The role requires 8+ years IT experience, strong knowledge of MLOps, data architectures, and governance, with a focus on responsible AI and stakeholder engagement.

Qualifications

• 8+ years of IT experience with 4–5 years in solution architecture, AI/ML, data platforms or analytics.
• Hands-on knowledge of AI/ML concepts including ML, DL, NLP and model lifecycle management.
• Experience architecting solutions on cloud platforms (Azure, AWS or GCP) with data/storage/compute patterns.
• Strong data architecture understanding: data lakes, data warehouses, streaming, ETL/ELT.

Responsibilities

• Design end-to-end AI architectures aligned to business objectives.
• Identify AI use cases with stakeholders and define solution roadmaps and reference architectures.
• Lead selection and integration of AI/ML platforms, data platforms and cloud tooling.
• Define data, model, and integration architectures across deployment lifecycle.
• Provide governance and technical leadership for security, privacy and responsible AI.
• Guide teams on MLOps, deployment patterns, and production monitoring.
• Conduct solution reviews, PoCs, and technical assessments for feasibility and cost.

Skills

AI/ML concepts

Machine learning

Deep learning

Generative AI

NLP

Model lifecycle management

MLOps

CI/CD

Security & privacy

Responsible AI

Solution architecture

Cloud platforms

Education

Bachelor degree (CS/Engineering/Data Science)

Tools

Azure

AWS

GCP

Job description

Wipro is seeking a Senior AI Solutions Architect in Sydney to design end-to-end AI architectures aligned with business objectives. You will translate complex requirements into scalable, secure architectures and lead the adoption of AI/ML platforms across cloud ecosystems.

The role requires 8+ years IT experience, strong knowledge of MLOps, data architectures, and governance, with a focus on responsible AI and stakeholder engagement.