Design and architect end‑to‑end AI solutions aligned to business objectives, translating complex requirements into scalable, secure, and high‑performing architectures.

Collaborate with business stakeholders, product owners, and engineering teams to identify AI use cases and define solution roadmaps and reference architectures.

Lead the selection, integration, and optimization of AI/ML platforms, data platforms, cloud services, and tooling across the solution stack.

Define data, model, and integration architectures, ensuring robustness across data ingestion, model development, deployment, monitoring, and lifecycle management.

Provide architectural governance and technical leadership, ensuring solutions adhere to enterprise standards, security, privacy, and responsible AI principles.

Guide development teams on best practices for AI/ML engineering, MLOps, and scalable deployment patterns in cloud and hybrid environments.

Conduct solution reviews, proofs of concept, and technical assessments to validate feasibility, performance, and cost‑effectiveness of AI solutions.

Act as a trusted technical advisor to clients and internal teams, supporting pre‑sales activities, solution proposals, and executive‑level technical discussions.





Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline; a Master’s degree or relevant AI/Cloud certifications is preferred.

8+ years of overall IT experience, with at least 4–5 years in solution architecture, AI/ML, data platforms, or advanced analytics roles.

Strong hands‑on knowledge of AI/ML concepts, including machine learning, deep learning, generative AI, NLP, and model lifecycle management.

Proven experience architecting solutions on cloud platforms (Azure, AWS, or GCP), including AI services, data storage, compute, and integration patterns.

Solid understanding of data architectures, including data lakes, data warehouses, streaming, and ETL/ELT pipelines.

Experience with MLOps practices, model deployment, monitoring, CI/CD, and scalable production environments.

Solid stakeholder management and communication skills, with the ability to explain complex AI solutions to technical and non‑technical audiences.

- Experience in defining enterprise‑grade architectures with a focus on security, privacy, compliance, and responsible/ethical AI practices.

📌 Information and Organisation Professionals (Sydney)
🏢 Wipro
📍 Sydney