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.

- Solid 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.

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

Duration: 06 Months and possible extension

Eligibility: Australian/NZ Citizens/PR Holders only

Email: [email protected]

📌 AI Architecture - Contract - Melbourne
🏢 Hastha Solutions
📍 Melbourne