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 up-to-date data and AI transformation initiatives, and work closely with business, engineering, and analytics teams to deliver high-impact solutions.
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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.
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Key Responsibilities
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Design and implement enterprise AI/ML architecture using Databricks Lakehouse Platform.
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Define scalable solutions for data ingestion, feature engineering, model training, deployment, monitoring, and governance.
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Architect and optimize AI/ML pipelines using Databricks, Spark, Python, SQL, and cloud-native services.
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Lead the setup of MLOps / LLMOps frameworks for model lifecycle management, CI/CD, model registry, and automated deployment.
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Work with business stakeholders to identify and prioritize AI/ML use cases, including predictive analytics, NLP, recommendation engines, and generative AI.
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Build and guide architecture for LLM / Generative AI solutions, including RAG, vector databases, prompt orchestration, and model integration where applicable.
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Establish best practices for data quality, security, compliance, observability, scalability, and responsible AI.




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Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams to ensure solution alignment with enterprise architecture standards.
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Provide technical leadership in selecting AI/ML tools, frameworks, and cloud services aligned to business and platform strategy.
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Support architecture reviews, technical design workshops, PoCs, and enterprise AI roadmap planning.
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Required Skills & Experience
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8- 15 years of experience in Data / AI / Analytics architecture, with strong exposure to enterprise-scale implementations.
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Hands-on experience with Databricks including:
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Databricks Lakehouse
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Delta Lake
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Unity Catalog
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MLflow
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Databricks Workflows
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Model Serving / Feature Store (preferred)
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Strong programming experience in Python, PySpark, SQL, and AI/ML solution development.
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Solid experience in designing and deploying Machine Learning pipelines in production.
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Good understanding of MLOps / LLMOps, including model versioning, CI/CD, deployment, monitoring, and governance.
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Experience with cloud platforms such as Azure, AWS, or GCP, preferably with Databricks integration.
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Familiarity with Generative AI / LLM ecosystems, such as OpenAI, Hugging Face, LangChain, vector stores, embeddings, and RAG architectures.
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Strong understanding of data engineering, ETL/ELT, distributed computing, and data platform modernization.
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Experience in solution architecture, technical governance, and stakeholder engagement
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📌 Ai Architect - Databricks (Victoria)
🏢 Unison Group
📍 Victoria