Senior AI Solutions Architect - Remote Dayshift

Key Responsibilities

* Understand and contribute to the CRM and BI product architecture.
* Work with 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 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.

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.