Senior Data & AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 10h ago
The date the source published, not the day we noticed it (2026-10-13). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Philippines
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $135k–178.5k/yr
Middle 50% of 13 listings that do state pay — Engineering · Senior · APAC · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 1h ago · last seen 1h ago
The listing
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)