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Pear Tree.

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Senior AI Solutions Architect

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

Philippines

Posted

4 days ago

Salary

₱200K - ₱350K / month

Seniority

Senior

Job Description

Senior AI Solutions Architect

Pear Tree.

• Understand and contribute to the Ellavait CRM and BI product architecture. • Work with Micado leadership to shape the technical roadmap. • Translate product requirements into secure, scalable, maintainable technical solutions. • Use AI coding tools such as Claude Code, Cursor, GitHub Copilot, Codex, Replit, or similar to accelerate delivery. • Personally contribute to development where required, especially in the early stages. • Review AI-generated code critically before it reaches production. • Protect the integrity of Ellavait’s multi-tenant architecture, including tenant isolation, role based access control, data security, auditability, and maintainability. • Help define coding standards, architecture decision records, delivery patterns, and AI development workflows. • Support sprint planning by breaking larger initiatives into technically clear work packages. • Help interview and assess future AI developers and QA automation resources. • Act as a trusted technical counterpart to our internal leadership team.

Job Requirements

  • Senior full-stack software engineering background.
  • Strong relational database design and data modelling experience, including complex entity relationships, lookup relationships, junction objects, field types, referential integrity, indexing, and query performance.
  • Strong understanding of CRM-style data models, including accounts, contacts, leads, opportunities, activities, tasks, notes, emails, custom objects, and related records.
  • Ability to design metadata-driven data structures where customers can configure objects, fields, layouts, relationships, and workflows without custom code.
  • Strong understanding of tenant-scoped data access and the risks of data leakage in a multi tenant SaaS platform.
  • Strong understanding of AI and LLM application architecture, not only AI-assisted coding.
  • Experience or strong working knowledge of agentic workflows, tool calling, retrieval augmented generation, vector databases, embeddings, structured outputs, and AI guardrails.
  • Ability to design AI features that can safely reason over CRM records, relationships, documents, emails, tasks, and business workflows.
  • Ability to design human-in-the-loop controls, audit logs, permission checks, and approval flows for AI-driven actions.
  • Preferred technical experience
  • React and TypeScript.
  • Python and FastAPI.
  • PostgreSQL or other advanced relational databases.
  • Advanced SQL, query optimisation, indexing, joins, and database performance tuning.
  • Relational database design, including one-to-many, many-to-many, lookup relationships, junction objects, referential integrity, and schema migrations.
  • Data modelling for CRM, ERP, workflow, BI, or metadata-driven applications.
  • Metadata-driven SaaS architecture where objects, fields, layouts, relationships, permissions, and workflows can be configured dynamically.
  • Multi-tenant SaaS platforms, including tenant isolation, tenant-scoped queries, shared versus dedicated data models, and data leakage prevention.
  • Authentication and authorisation frameworks.
  • Role-based access control and permission-aware application design.
  • API architecture and integration design.
  • Data pipelines and integration architecture.
  • Event-driven architecture and background job processing.
  • Automated testing, CI/CD, and release governance.
  • Cloud deployment experience.
  • Vector databases or vector search, such as pgvector, Pinecone, Weaviate, Qdrant, or similar.
  • Embedding models and semantic search.
  • LLM orchestration frameworks or patterns.
  • AI agent frameworks, tool/function calling, and workflow automation.
  • Retrieval-augmented generation architecture.
  • Secure AI application design, including tenant-aware retrieval, permission checks, auditability, human-in-the-loop controls, and prevention of cross-tenant data exposure.

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