Lead Data Systems Engineer
Mexico City | Full-Time • Hybrid

Department Overview
The Enterprise Data & AI Solutions group is the organization's strategic hub for cognitive automation. We move beyond traditional data management to build the autonomous engines that power executive decision‑making. Our team is composed of Architects of Autonomy, professionals with the technical depth to build systems from the ground up and the strategic vision to leverage AI to ensure scalability. We partner with the C‑suite to solve high‑complexity challenges by deploying sophisticated multi‑agent ecosystems that operate with continuous uptime.

Role Description: The Builder
We are seeking a Lead Agentic Data Systems Engineer – a hands‑on, depth‑first engineer who will turn architectural blueprints into hardened, production‑grade data products. This role is defined by execution depth. You will own the product end‑to‑end – building, maintaining, enhancing it, and constructively challenging the design when implementation reality demands it. You will lead the redesign of the data team model,



replacing human personnel management with complex "hand‑off" protocols between specialized AI agents, acting as the central anchor for a hybrid human‑agent intelligence unit.

Core Responsibilities
- Architect and maintain a private ecosystem of 10+ autonomous agents specialized in ETL, synthetic data generation, automated QA, and predictive modeling.
- Design multi‑step reasoning architectures and verification protocols to ensure agents autonomously validate and peer‑review their own outputs.
- Transform high‑level, ambiguous business requirements into production‑ready data products independently, bypassing the need for mid‑level project management.
- Use domain knowledge to ensure deployed tools are well governed, implementing governance as code for data pipelines and agentic development, and contextual agent development.
- Develop and maintain Model Context Protocol (MCP) servers to provide agen

📌 Lead Agentic Data Systems Engineer (Ciudad de México)
🏢 Salesforce
📍 Ciudad de México