Admin & AI Architect, RevOps & CRM Systems

Lotlinx•Oakville, ON

5h•CA$110,000 - CA$120,000•Hybrid

About The Position

Lotlinx is seeking an Admin & AI Architect to join their RevOps team. This role involves building and managing an AI-first RevOps engine, utilizing autonomous AI agents to handle complex Salesforce administration, data analysis, and custom development. The goal is to create a digital workforce that automates tasks and acts as a force multiplier for the organization, pioneering a self-governing system within a clean CRM environment. The position offers a dynamic, challenging, and team-oriented work environment with passionate individuals.

Requirements

Bachelor’s degree or equivalent professional experience.
Deep Salesforce fluency (2+ years in admin/developer roles) with experience in Apex, metadata APIs, and understanding of enterprise org impacts.
Hands-on experience building autonomous multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen.
Deep understanding of prompt engineering, RAG architectures, and routing logic using OpenAI or Anthropic APIs.
Ability to break down complex RevOps problems into discrete, automatable tasks for digital workers.
Comfort writing and reviewing code in Python (for AI orchestration) and Apex/JavaScript (for Salesforce).
Experience with production environments, including learning from failures and building necessary guardrails for autonomous agents.

Nice To Haves

Admin/architect certs preferred.
Candidates actively excited about utilizing Claude / Claude Code for complex multi-agent logic and code generation.

Responsibilities

Architect and administer Lotlinx's autonomous RevOps engine, focusing on designing, deploying, and governing AI agents alongside Salesforce platform administration.
Define the AI integration strategy across the RevOps stack, identifying opportunities for multi-step agent workflows to automate manual processes.
Serve as the authority on AI and Salesforce architecture, optimizing the organization design for LLMs and agentic interaction.
Establish guardrails and evaluation frameworks to ensure AI-generated configurations, code, and documentation meet production standards.
Lead the evaluation of third-party agent frameworks versus native AI tooling, with a preference for external agents to drive autonomous operations.