AI Architecture Consultant - Contract

About the role

Hastha Solutions has an urgent requirement for an AI Architecture consultant on a 6-month contract in Melbourne, with possible extension. The role defines and drives the organisation's AI strategy, builds GenAI and agentic AI solutions, and provides technical leadership to AI teams. Only Australian or NZ citizens or PR holders are eligible.

Key responsibilities

• Define and drive the 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 using 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 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 turn AI use cases into scalable solutions.
• Provide technical leadership to AI engineers, solution architects and development teams.
• Lead AI innovation workshops, architecture reviews, PoCs and adoption programs, and support pre-sales, technical solutioning, effort estimation and executive presentations.
• Drive AI transformation across SDLC, operations, customer service, analytics and business processes.

Required profile

• 12-20+ years of overall IT experience, including 5+ years in AI/ML/GenAI architecture and enterprise AI transformation.
• Strong expertise in Generative AI, LLMs, Agentic AI and AI solution architecture.
• Experience designing and implementing AI Agents and multi-agent architectures.
• Good to have: postal domain experience, experience in retail, banking, logistics, supply chain or transportation, and experience leading an AI CoE.

Required skills

• Generative AI, LLMs, RAG, vector databases, embeddings, semantic search and knowledge management platforms.
• Microsoft 365 Copilot, Copilot Studio, AI Foundry, Azure, GCP, Kubernetes, Docker and MLOps/LLMOps.
• Python, REST APIs, microservices and cloud-native development.
• Prompt engineering, model evaluation, fine-tuning, tool orchestration and AI observability.
• Enterprise integration with SharePoint, Teams, Outlook, ServiceNow, Jira, CRM and ERP; AI security, governance and compliance.
• Good to have: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Microsoft Fabric, Databricks, BigQuery, Snowflake, Kafka, streaming platforms, TOGAF and AI certifications.