Senior Data Engineer, AI Data Infrastructure Architect

QuantumBlack, AI by McKinsey; Monterrey; On-site; MXN 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary

Benefits package

Job summary

QuantumBlack, AI by McKinsey in Monterrey is seeking a senior data engineer to build foundational data infrastructure powering AI applications, including LLMs, retrieval systems, and agentic architectures. You’ll design scalable pipelines, manage secure data environments, and partner with cross-functional teams and clients to deliver production AI capabilities.

You’ll also drive end-to-end AI features, ensure model reliability and governance, and contribute to R&D for next-gen AI solutions.

Qualifications

• Degree in Computer Science/Engineering, or equivalent experience.
• 5+ years of data engineering experience leading technical workstreams and mentoring engineers.
• Expert-level Python and SQL; polyglot (Scala/Java) when required by client systems.
• Strong experience building Agentic AI, Generative AI, ML, and BI systems, incl. prompt design, RAG, embeddings, vector DBs, LangChain, etc.
• Ability to lead end-to-end AI feature implementation with attention to model behavior, reliability, guardrails, QoS, latency, and cost.
• Experience implementing robust data security and governance, including PII/PHI handling and RBAC.
• Deep knowledge of MLOps/LLMOps including CI/CD for data workflows and cloud infra across AWS/Azure/GCP.
• Excellent time management and autonomous ownership of technical workstreams.
• Experience with coding agents (Cursor, Claude Code, Codex) is a plus.
• Strong communication in English and Spanish.

Responsibilities

• Build foundational data infrastructure powering AI apps (LLMs, retrieval, workflows, agentic architectures).
• Design and maintain scalable data pipelines and secure data environments for AI-driven systems.
• Collaborate with cross-functional teams and clients to deliver production AI capabilities.
• Translate hypotheses into engineered features and contribute to R&D for scalable AI capabilities.
• Collaborate with QuantumBlack teams to develop robust data foundations for scalable AI solutions.

Skills

Python

SQL

Scala

Java

Agentic AI

Generative AI

MLOps/LLMOps

Data security

Governance

CI/CD

English/Spanish

Education

Bachelor's degree in CS/Engineering

Tools

Spark

LangChain

Databricks

Dask

Airflow

Dagster

Kedro

Terraform

LangSmith

Langfuse

Job description

QuantumBlack, AI by McKinsey in Monterrey is seeking a senior data engineer to build foundational data infrastructure powering AI applications, including LLMs, retrieval systems, and agentic architectures. You’ll design scalable pipelines, manage secure data environments, and partner with cross-functional teams and clients to deliver production AI capabilities.

You’ll also drive end-to-end AI features, ensure model reliability and governance, and contribute to R&D for next-gen AI solutions.