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.
This is a role for a hands-on, depth-first engineer who will take the architectural blueprints set by our Principal Engineers and turn them into hardened, production-grade data products. This role is defined by execution depth. You will own the product end-to-end — building it, maintaining it, enhancing it,
and constructively challenging the design when implementation reality demands it. You are the person the business trusts to make a data product actually work, at quality, every day. You are someone who knows how to supercharge their own workflow with AI agents, but your primary leverage comes from deep, disciplined building rather than broad orchestration.
The Strategic Shift: You are redefining the data team model. Instead of managing human personnel, you manage complex "hand-off" protocols between specialized AI agents, acting as the central anchor for a hybrid human-agent intelligence unit.
Core Responsibilities
- Autonomous Scaling: Architect and maintain a private ecosystem of 10+ autonomous agents specialized in ETL, synthetic data generation, automated QA, and predictive modeling.
- Agentic Orchestration: Design multi-step reasoning architectures and verification protocols to ensure agents autonomously validate and peer-review their own outputs.
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📌 Lead Agentic Data Systems Engineer (Ciudad de México)
🏢 Salesforce.com
📍 Ciudad de México
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