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.
  

• Define and drive the organization's 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. 
  

• 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