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AI Architecture Contract Melbourne

Job Location:

Melbourne - Australia

Monthly Salary: Not provided by the employer

Experience Required: 5years

Posted: 7 August 2026 (5 hours ago)

Application Deadline: 4 November 2026

Vacancies: 1 Vacancy

Urgent requirement of AI Architecture - Contract - Melbourne

Requirements

12-20 years overall IT experience with 5 years in AI/ML/GenAI Architecture and Enterprise AI Transformation
Strong expertise in Generative AI Large Language Models (LLMs) Agentic AI and AI Solution Architecture.
Hands-on experience with Microsoft 365 Copilot Copilot Studio and AI Foundry.
Experience with Google Gemini Enterprise Vertex AI Agent Builder Agent Engine Vertex AI Search and Model Garden.
Strong understanding of Retrieval Augmented Generation (RAG) Vector Databases Embeddings Semantic Search and Knowledge Management Platforms.
Experience designing and implementing AI Agents and Multi-Agent Architectures using modern frameworks.
Proficiency in Python REST APIs microservices and cloud-native application development.
Experience with Azure Google Cloud Platform (GCP) Kubernetes Docker and MLOps/LLMOps.
Knowledge of Prompt Engineering Model Evaluation Fine-Tuning Tool Orchestration and AI Observability.
Enterprise integration experience with SharePoint Teams Outlook ServiceNow Jira CRM ERP and API ecosystems
Strong understanding of AI Security Responsible AI Governance Compliance and Data Privacy.

Key Responsibilities:

Define and drive the organizations AI architecture strategy roadmap standards and governance framework.
Design scalable GenAI and Agentic AI solutions using Copilot Gemini Vertex AI and enterprise AI platforms.
Architect and implement RAG-based solutions leveraging enterprise knowledge repositories and document management systems.
Build and govern enterprise AI assistants copilots and autonomous agents for business and technology functions.
Develop reusable AI architecture patterns accelerators and reference implementations.
Lead the integration of AI solutions with enterprise applications APIs and data platforms.
Establish AI platform governance monitoring security and responsible AI controls.
Collaborate with business stakeholders to identify AI use cases and translate them into scalable solutions.
Provide technical leadership to AI engineers solution architects and development teams.
Lead AI innovation workshops architecture reviews PoCs and enterprise AI adoption programs.
Support pre-sales activities technical solutioning effort estimation and executive presentations.
Drive AI transformation initiatives across SDLC operations customer service analytics and business processes.

Good to Have:

Postal Domain experience
Experience with LangChain LangGraph LlamaIndex CrewAI AutoGen or similar agent frameworks.
Exposure to Data Science Machine Learning Deep Learning and Predictive Analytics.
Experience with Microsoft Fabric Databricks BigQuery Snowflake or modern data platforms.
Knowledge of Event-Driven Architecture Kafka Confluent Kafka and Streaming Platforms.
Experience implementing AI solutions in Retail Banking Logistics Postal Supply Chain or Transportation domains.
Familiarity with Enterprise Architecture frameworks such as TOGAF or similar.
Microsoft and Google Cloud AI certifications.
Experience establishing and leading an AI Center of Excellence (CoE).
Strong consulting stakeholder management and executive communication skills.
Ability to mentor teams and drive AI capability development across large organizations