Remote AI-Driven SaaS Architect (Multi-Tenant)

Spektra Systems; United States; Remote; USD 3,100 - 7,300; Full time

Job summary

Spektra Systems LLC is remote-based, hiring experienced professionals to design its AI-driven SaaS platform. You will own architecture across core services, identity, and modular deployments, while guiding agent-generated code via specs and reviews.

Expect leadership in security, ADRs, and scalable multi-tenant design. You will define contracts, data boundaries, and migration paths, collaborating with product and engineering teams to ensure robust, compliant delivery of AI-powered features and

Qualifications

• Deep experience with ASP.NET Core, C#, SQL Server and Angular.
• Proven multi-tenant SaaS architecture with tenant isolation and RBAC.
• Strong identity and security fundamentals: OAuth 2.0/OIDC, Azure AD B2C/Entra.
• Azure production experience: Container Apps/AKS, App Service, Front Door, Key Vault.
• Proficient with AI coding agents and shipping production systems.

Responsibilities

• Own the target architecture: core services and independently deployed modules.
• Define module contracts: manifests, APIs, events, and per-module data boundaries.
• Record ADRs on edge routing, identity, data, and hosting decisions.
• Plan migration from legacy V1 to vNext with stepwise rollbacks.
• Oversee the agent-driven engineering system and ensure guardrails are met.
• Lead by writing specs and reviewing agent output; maintain coding standards.

Skills

ASP.NET Core

C#

SQL Server

Angular

TypeScript

React/Next.js

Python

AI coding agents

Multi-tenant SaaS

Tools

Claude Code

Codex

Cursor agent mode

Copilot

Job description

Spektra Systems LLC is remote-based, hiring experienced professionals to design its AI-driven SaaS platform. You will own architecture across core services, identity, and modular deployments, while guiding agent-generated code via specs and reviews.

Expect leadership in security, ADRs, and scalable multi-tenant design. You will define contracts, data boundaries, and migration paths, collaborating with product and engineering teams to ensure robust, compliant delivery of AI-powered features and