Senior Data & AI Engineer

Job Responsibilities

Architecture and System Design

* Design, develop, and deploy a secure, multi-tenant intelligence architecture from scratch
* Own everything from foundational data pipelines to final LLM integrations
* Review current design documentation, identify technical blind spots, and push back on inefficient approaches to shape the long-term technology roadmap
* Act as a strategic technical partner to leadership by actively challenging existing designs to ensure the safest and most scalable approach

Data Engineering and Pipelines

* Connect disparate and inconsistent client systems including CRMs, ad platform APIs, web analytics, and manual spreadsheets
* Transform unstructured information into clean and usable data models
* Execute heavy data engineering to normalise inputs before layering on advanced AI workflows

AI Integration and Workflows

* Build production-ready workflows using Anthropic Claude within the Microsoft 365 and Asana ecosystems
* Ensure all AI outputs are highly accurate, context-aware, and traceable to their exact source
* Develop interfaces and processes that require human approval for all AI-generated outputs before they reach the end client

Security and Governance

* Engineer strict access controls ensuring all client data is completely separated
* Maintain read-only system access and minimise personal identifiable information in strict compliance with privacy regulations
* Treat data governance, auditability, and traceability as foundational system requirements rather than afterthoughts

Requirements

* Extensive, hands-on experience in Data Engineering, including ETL/ELT, managing APIs, extracting data from CRMs, and cleaning unstructured data
* Proven track record in Systems Architecture, specifically designing isolated, multi-tenant databases with strict security and governance protocols
* Real-world, production-level experience building and deploying LLM applications such as Claude, OpenAI, RAG pipelines, or agentic workflows
* Deep understanding of data privacy laws, PII minimisation, and auditable data practices
* Ability to confidently transition between high-level architectural strategy and hands-on coding on a daily basis

Nice-to-Have Skills

* Experience building and integrating within the Microsoft 365 and Asana ecosystems
* Prior exposure to marketing technology, ad network APIs including Google and Meta, or sales CRMs
* Familiarity with building strict human-in-the-loop approval interfaces and user experiences for AI outputs

Benefits

* Permanent work-from-home set-up
* Dayshift (Australian Eastern Daylight Time business hours)
* Full-Time opportunity
* HMO (STAFF only)
* Annual leave
* Christmas Bonus equivalent to 1 month's wage (pro-rate)