Job Description Urgent requirement of AI Architecture - Contract - Melbourne Requirements *****+ 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 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.
Positive 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 Duration: 06 Months and possible extension Eligibility: Australian/NZ Citizens/PR Holders only Email: ****** Requirements AI Architecture - Contract - Melbourne

📌 Ai Architecture - Contract - Melbourne (Victoria)
🏢 Hastha Solutions
📍 Victoria