# Senior Data & AI Engineer

**Company:** [Virtual Staff 365](https://jobs.workable.com/companies/pzrDAmWzBeLFWWocD1c2K3.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time

[Apply for this job](https://jobs.workable.com/view/209ca03c-7fcc-41ce-ba4a-d9f454356b1a)

## Description

Our client is a premier growth marketing consultancy that embeds fractional CMOs directly into technical B2B and SME businesses. They engineer scalable lead generation, elevate brand positioning, and drive high-impact marketing strategy from the inside out.

They are now seeking to hire a **Senior Data & AI Engineer** to architect and build a complex, multi-platform intelligence system from the ground up. This role is critical for developing a client-facing performance engine and an internal AI-driven playbook that aggregates operational learnings.

### 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)