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Azure AI Architect

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Delivery Centric Technologies

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Location:
Australia

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Category:
IT - Software Development

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Salary:

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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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