Azure AI Architect Jobs

Delivery Centric Technologies

Location:
Australia

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Delivery Centric is seeking a highly skilled Azure AI Architect to lead the design and delivery of advanced AI and Generative AI solutions across large enterprise and public-sector transformation programs. This role requires deep technical expertise in Azure AI, strong architectural leadership, and the ability to translate AI strategy into scalable, secure, and high-value business outcomes. You will work closely with cross-functional teams to build intelligent, data-driven solutions powered by Azure AI Services, Azure OpenAI, Cognitive Search, and modern MLOps/LLMOps practices.

Job Responsibility:

Architect and implement enterprise-grade AI, GenAI, and cognitive solutions using Azure OpenAI, Azure AI Services, AI Search, Vector Databases, and AI Foundry
Lead AI strategy, solution roadmaps, and multi-year transformation programs aligned to customer goals
Design, deploy, fine-tune, and optimize generative AI models and large language models
Build and govern scalable AI and data pipelines using Python, PySpark, Azure ML, MLOps, and LLMOps frameworks
Provide architectural guidance, governance, and leadership to technical and delivery teams
Develop hybrid/on-cloud AI architectures with strong security, data governance, and compliance guardrails
Conduct workshops, training sessions, and enablement programs to help customers adopt AI capabilities
Collaborate with business, engineering, and data teams to ensure alignment on solution design and delivery
Produce architecture blueprints, design documents, technical presentations, and best-practice guidelines

Requirements:

10+ years of IT experience, with 5+ years in Azure AI, cloud architecture, and data-driven engineering
Strong hands-on experience with Azure OpenAI, Azure AI Services, Cognitive Search, Vector Databases, Form Recognizer, and AI Foundry
Expertise in deploying, fine-tuning, and optimizing generative AI and LLM-based solutions
Proficiency in Python, PySpark, MLOps, LLMOps, and AI/ML development practices
Solid knowledge of machine learning, NLP, data engineering, and large-scale data processing
Strong understanding of Kubernetes, Git, CI/CD, and cloud-native solution delivery
Excellent communication and stakeholder management skills with the ability to influence technical and business decisions
Relevant Azure or AI certifications are highly desirable

Additional Information:

Job Posted:
December 08, 2025

Employment Type:

Fulltime

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Azure AI Architect