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Admin & AI Architect, RevOps & CRM Systems

Job in Chandler, Maricopa County, Arizona, 85249, USA
Listing for: Gravity Engineering Services Pvt Ltd.
Full Time position
Listed on 2026-06-06
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Summary

Our CRM team has spent years building a Salesforce foundation that is incredibly rare: clean data models, well-architected automation, and rock-solid processes across Sales, Marketing, and Finance.

Instead of scaling our operations through linear, traditional headcount, we are building an AI-first Rev Ops engine. We are looking for a Admin & AI Architect to step into this custom-built environment and build specialized, autonomous AI agents that handle complex Salesforce administration, data analysis, and custom development. These agents will serve as a digital workforce, empowering our Rev Ops team by automating complex tasks in Salesforce administration, data analysis, and custom development.

This is a rare opportunity to pioneer a self-governing system within a clean CRM environment. You are not just building tools; you are architecting a digital workforce that acts as a massive force multiplier for our entire organization.

Key Responsibilities

You will be the architect and admin of Lotlinx's autonomous Rev Ops engine, focused on designing, deploying, and governing a fleet of AI agents in addition to administration of our Salesforce platform.

  • Define the AI integration strategy across the full Rev Ops stack, identifying where multi-step agent workflows can completely automate heavy manual processes.
  • Serve as the absolute authority on AI and Salesforce architecture, ensuring our org design is optimized for LLMs and agentic interaction.
  • Establish rigorous guardrails and evaluation frameworks to ensure AI-generated configurations, code, and documentation meet a flawless production bar before deployment.
  • Lead the evaluation of bespoke third-party agent frameworks versus native AI tooling with a strong preference for external agents to ensure Lotlinx leads the industry in autonomous operations.
Qualifications
  • Bachelor’s degree or equivalent professional experience.
  • Deep Salesforce fluency (2+ years in admin/developer type roles) where you've written complex Apex
    , navigated metadata APIs
    , and understand what breaks an enterprise org. We care about depth of knowledge over years on a resume (admin/architect certs preferred).
  • You have hands-on experience building autonomous multi-agent systems using frameworks like Lang Graph
    , CrewAI
    , or Auto Gen
    .
  • Deep understanding of prompt engineering
    , RAG architectures
    , and routing logic using the OpenAI or Anthropic APIs
    .
  • You see the whole board. You know how to break down a complex Rev Ops problem into discrete, automatable tasks that a digital worker can execute safely.
  • Comfort writing and reviewing code across Python (for AI orchestration) and Apex/Java Script (for Salesforce).
  • Bonus points for candidates who are actively excited about utilizing Claude /
    Claude Code for complex multi-agent logic and code generation, rather than just general framework users.
A Note on

Experience:

We value production scars over a list of certifications. We want the person who has actually tried to put an autonomous agent into a production environment, broke things, learned from it, and knows how to build the necessary guardrails.

How Success is Measured
  • Is the Rev Ops engine shipping faster and more reliably because your agents are handling the heavy development and administrative load?
  • Your agents operate behind robust human-in-the-loop guardrails and automated test coverage that you designed. Regressions don't reach production because your review architecture catches them first.
  • Are Finance, Marketing, Sales, Account Management and Product Operations getting compounding value from Salesforce via the intelligent systems you’ve deployed?
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