Solution Architect - Data & AI

We're looking for a Solution Architect to design and deliver scalable and secure cloud solutions that help our clients harness the power of AI.

Solution Architect - Data & AI
Wellington based, client facing.
Competitive remuneration package

Are you passionate about shaping next-generation data and AI platforms? Our client is seeking talented individuals to join their growing AI consultancy practice. 

What you’ll do

• Design and implement end-to-end cloud-native architectures across AWS and/or Azure to support AI and data workloads.
• Architect highly available, secure, and scalable data, integration, and AI platforms with strong disaster recovery and monitoring capabilities.
• Define AI/ML solution patterns, deployment strategies, and MLOps practices to operationalize machine learning models at scale.
• Lead the design of data platforms(data warehouses, data lakes, and lakehouses) supporting real-time and batch data pipelines.
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical blueprints and roadmaps.
• Evaluate and recommend cloud services, frameworks, and tools(e.g., Microsoft Fabric, Azure Synapse, Azure AI Foundry, AWS Bedrock) aligned with client goals.
• Establish network and security architectures, including VPCs, VPNs, secrets management, and hybrid connectivity strategies.
• Implement observability and monitoring frameworks for data and AI platforms.
• Drive cost optimization, performance tuning, and automation across multi-cloud environments.
• Mentor technical teams on data modeling, AI lifecycle management, and architectural best practices.

• Proven experience as a Solution Architect, Platform Architect, or Data/AI Architect in a consulting or enterprise environment.
• Hands-on expertise with AWS and/or Azure services for data, analytics, and AI.
• Strong understanding of cloud networking, containerization, and automation(e.g., Kubernetes, Terraform).
• Experience designing ETL/ELT pipelines, data integration solutions, and MLOps workflows.
• Familiarity with AI and machine learning frameworks, and how to embed them into business applications.
• Excellent communication and stakeholder engagement skills.
• A passion for leveraging technology to deliver measurable business outcomes.