AI Systems Analyst

As an AI Systems Analyst, you will be responsible for evaluating, designing, and integrating AI-driven solutions into our client’s enterprise architecture; 482 Visa sponsorship is available for the right candidate. You will act as the technical translator between data scientists and business units, ensuring that AI implementations are technically feasible, operationally sound, and aligned with organisational compliance standards.
📋 Core Responsibilities

• System Analysis: Analyse existing business processes to identify high-impact opportunities for AI/ML automation and augmentation.
• Technical Scoping: Translate business needs into detailed technical specifications for AI models, including data requirements, latency thresholds, and accuracy benchmarks.
• Integration Design: Partner with Cloud Engineers to design how AI services (LLMs, Computer Vision, etc.) interface with legacy and modern system architectures.
• Model Evaluation: Conduct rigorous analysis of AI outputs to monitor for bias, hallucinations, and performance drift.
• Data Mapping: Define data lineage and quality standards required to ensure "AI-readiness" across various business units.
• Ethical Governance: Ensure all AI systems comply with Australian AI Ethics Principles and relevant data sovereignty regulations (e.g., APRA, IRAP).

✅ Selection Criteria

• Analytical Foundation: 5+ years of experience as a Systems Analyst or Technical BA, with a focus on data-heavy environments.
• AI Literacy: Solid understanding of the AI lifecycle, including prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) patterns.
• Technical Toolkit: Proficiency in SQL and Python for data analysis and system testing.
• Communication: Exceptional ability to explain complex AI concepts to non-technical stakeholders.
• Cloud Knowledge: Familiarity with Azure AI Services, AWS Bedrock, or Google Vertex AI.

💻 The Ecosystem

• Core Tools: SQL, Python, Jira, Confluence, Miro.
• AI Frameworks: LangChain, LlamaIndex, OpenAI/Claude APIs.
• Data Platforms: Snowflake, Databricks, Azure Synapse.
• Governance Tools: Microsoft Purview, Collibra.