Salesforce
AI CRM
LeadAgenticDataSystemsEngineer
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“Lead Agentic Data Systems Engineer at Salesforce. Skills: Agentic Orchestration, Data Systems Engineering, AI CRM. Architect and maintain autonomous agents. Design multi-step reasoning architectures”
What You'll Achieve.
Ensure scalability; Ensure continuous uptime; Ensure data product works at quality; Accelerate personal and departmental output; Deliver amazing experiences
Industry & Context.
Complex Problem Resolution; Identify subtle logic errors; Identify hallucinations
What They're Looking For.
Must Have
5+ years of experience in high-stakes Data Engineering, Architecture, or Data Science, Strong Python / SQL Expertise, Production-grade proficiency in Python, dbt, Airflow, and advanced SQL, Apache Spark, and Snowflake, Fluency in AI-native development environments (e. g. , Cursor, Codex, or Claude Code), Expert in Prompt Engineering, Mastery of agentic frameworks such as LangGraph, Leverage MCP servers to retrieve data from tool stack, Expert-level knowledge of chain-of-thought prompting, self-correction loops, and iterative reasoning paths, Salesforce Core and Data 360 understanding, Advanced understanding of Data Mesh, Data-as-a-Product (DaaP), and Event-Driven Architectures, Semantic layer, Knowledge Graphs, Experience using agentic workloads via Docker, Kubernetes, and serverless compute environments
Nice to Have
A documented history of using generative AI to accelerate personal and departmental output by orders of magnitude, The ability to function as a "Domain Data Officer," managing end-to-end data strategy for a business unit with minimal supervision, Superior analytical judgment—the ability to identify subtle logic errors or hallucinations in agentic output before they reach production
What You'll Do.
Architect and maintain autonomous agents
Design multi-step reasoning architectures
Ensure agents autonomously validate outputs
Transform business requirements into data products
Manage end-to-end data strategy
Develop and maintain MCP servers
Provide agents access to data
Build self-healing digital immune system
How You'll Work.
Team & Collaboration
Partner with the C-suite; Work with product team
Process & Methodology
Bypass mid-level project management
Full Job Description
_To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts._ Job Category Software Engineering Job Details ****About Salesforce**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. # ****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. _ _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 trus
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