Senior Data & AI Engineer

virtualstaff36 · Philippines · posted today ago

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About this role

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