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AI Architect - Databricks
Unison Group —Sydney NSW
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AI Delivery Lead - Sydney/Melbourne
Capgemini Sogeti —Sydney NSW
- Azure
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InfoCentric —Melbourne VIC
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- Azure
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AI Delivery Lead - Sydney/Melbourne
Capgemini —Melbourne VIC
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Data Solution Architect
Australian Red Cross Lifeblood —West Melbourne VIC
- $170,000 - $185,000 a year
- Full-time
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2d
Data Architect
Cognizant —Brisbane QLD
- $100,000 a year
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Specialist Solutions Architect
Databricks —Melbourne VIC
- Azure
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Principal Data Engineer - Contract
The Business Agility Group —Tullamarine VIC
- Urgently hiring
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- Azure
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Senior Solutions Engineer - Perth
Snowflake —Perth WA
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Senior Data Technical Lead
Cognizant —Melbourne VIC
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13d
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Light & Wonder —Silverwater NSW
- Full-time
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Digital Architect
Infosys Singapore & Australia —Melbourne VIC
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AI Technology Specialist
Viva Energy Australia —Melbourne VIC
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- Azure
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Accenture —Brisbane QLD
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2d
Senior Solutions Engineer (Presales) - Enterprise Customers
Neo4j —Sydney NSW
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Enterprise Architect
Datacom —Greater Adelaide SA
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Product Manager (Data)
Duxxel Pty Ltd —Sydney NSW
- From $120,000 a year
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Senior Databricks Consulting Engineer
Ultra Tendency —Sydney NSW
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Business Architect
Equifax —Sydney NSW
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8d
Senior Data Engineer
Hewitt —Brisbane QLD
- Full-time
- Azure
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AI Architect - Databricks

Unison Group -
Sydney NSW

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Job Details

Contract

Qualifications

CI/CD
Azure
Law
Deployment
Google Cloud Platform
Master's degree
SQL
AWS
Bachelor's degree
Machine learning
Unity
Solution architecture
AI
Analytics

Full Job Description

We are looking for an experienced AI Architect with strong expertise in Databricks, Data Engineering, Machine Learning, and Cloud-based AI solutions to lead the design and implementation of scalable AI/ML platforms and intelligent data solutions. The ideal candidate will define enterprise AI architecture, drive modern data and AI transformation initiatives, and work closely with business, engineering, and analytics teams to deliver high-impact solutions.

This role requires a strong understanding of end-to-end AI/ML lifecycle, Lakehouse architecture, Databricks ecosystem, and the ability to translate business use cases into production-ready AI solutions.

Key Responsibilities

Design and implement enterprise AI/ML architecture using Databricks Lakehouse Platform.
Define scalable solutions for data ingestion, feature engineering, model training, deployment, monitoring, and governance.
Architect and optimize AI/ML pipelines using Databricks, Spark, Python, SQL, and cloud-native services.
Lead the setup of MLOps / LLMOps frameworks for model lifecycle management, CI/CD, model registry, and automated deployment.
Work with business stakeholders to identify and prioritize AI/ML use cases, including predictive analytics, NLP, recommendation engines, and generative AI.
Build and guide architecture for LLM / Generative AI solutions, including RAG, vector databases, prompt orchestration, and model integration where applicable.
Establish best practices for data quality, security, compliance, observability, scalability, and responsible AI.
Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams to ensure solution alignment with enterprise architecture standards.
Provide technical leadership in selecting AI/ML tools, frameworks, and cloud services aligned to business and platform strategy.
Support architecture reviews, technical design workshops, PoCs, and enterprise AI roadmap planning.

Required Skills & Experience

8- 15 years of experience in Data / AI / Analytics architecture, with strong exposure to enterprise-scale implementations.
Hands-on experience with Databricks including:
- Databricks Lakehouse
- Delta Lake
- Unity Catalog
- MLflow
- Databricks Workflows
- Model Serving / Feature Store (preferred)
Strong programming experience in Python, PySpark, SQL, and AI/ML solution development.
Solid experience in designing and deploying Machine Learning pipelines in production.
Good understanding of MLOps / LLMOps, including model versioning, CI/CD, deployment, monitoring, and governance.
Experience with cloud platforms such as Azure, AWS, or GCP, preferably with Databricks integration.
Familiarity with Generative AI / LLM ecosystems, such as OpenAI, Hugging Face, LangChain, vector stores, embeddings, and RAG architectures.
Strong understanding of data engineering, ETL/ELT, distributed computing, and data platform modernization.
Experience in solution architecture, technical governance, and stakeholder engagement.

Quick Apply

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data solutions architect azure analytics jobs

AI Architect - Databricks

AI Delivery Lead - Sydney/Melbourne

AI/ML Architect

AI Delivery Lead - Sydney/Melbourne

Data Solution Architect

Data Architect

Specialist Solutions Architect

Principal Data Engineer - Contract

Senior Solutions Engineer - Perth

Senior Data Technical Lead

Senior Systems Administrator

Digital Architect

AI Technology Specialist

Technical Architect_

Senior Solutions Engineer (Presales) - Enterprise Customers

Enterprise Architect

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Senior Databricks Consulting Engineer

Business Architect

Senior Data Engineer

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