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Open nowPosted 22 days ago

Senior Data & AI Engineer

Virtual Staff 365

Where
Philippines
Work mode
Remote
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Your applicationOpen nowSenior Data & AI EngineerVirtual Staff 365 · Philippines
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Early applications get read.

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Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 22 days ago

The posting

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)
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