Virtual Staff 365
Senior Data & AI Engineer
- Compensation
- Not disclosed
- Location
- Philippines
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Full time
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- 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
- 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
Full 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