Remote Data Science Lead for Enterprise AI & LLM

Jobgether; México; Remote; MXN 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary package

Fully remote working model

Comprehensive healthcare coverage

Long-term B2B contract with a stable项目

Job summary

Jobgether is seeking a Data Science Lead to steer the architecture and evolution of AI and GenAI capabilities within a regulated enterprise environment. You will design, validate, and scale production-grade AI systems, including RAG pipelines and embeddings workflows, while coordinating across data science, engineering, product, and compliance teams.

The role focuses on ownership, explainability, and performance, enabling enterprise-scale AI solutions with strong governance and measurable

Qualifications

• Strong hands-on experience in data science and production AI systems.

Responsibilities

• Design, evolve, and oversee AI and machine learning architecture supporting automated compliance validation workflows.
• Design and optimize LLM-powered retrieval and validation pipelines, including Retrieval Augmented Generation (RAG) architectures.
• Establish evaluation frameworks, benchmarking approaches, and continuous improvement processes to measure and enhance AI system performance.
• Develop explainability, traceability, and validation mechanisms that support regulatory and compliance requirements.
• Collaborate closely with ML Engineers and Backend Engineers to productionize AI components and integrate them into reliable enterprise systems.
• Drive technical decisions around embeddings, vector databases, retrieval strategies, and related AI infrastructure.
• Ensure AI workflows are reproducible, testable, maintainable, and aligned with high-quality engineering standards.
• Support the scaling of AI capabilities from individual workflows into a robust, enterprise-grade platform.
• Lead technical discussions and align architectural decisions across product, engineering, data science, and compliance stakeholders.
• Identify opportunities to improve system reliability, model performance, scalability, and operational effectiveness.

Skills

Data Science

ML Engineering

Regulatory AI

Production AI

Tools

Python

LLM frameworks

Vector databases

Embedding-generation pipelines

RAG architectures

Job description

Jobgether is seeking a Data Science Lead to steer the architecture and evolution of AI and GenAI capabilities within a regulated enterprise environment. You will design, validate, and scale production-grade AI systems, including RAG pipelines and embeddings workflows, while coordinating across data science, engineering, product, and compliance teams.

The role focuses on ownership, explainability, and performance, enabling enterprise-scale AI solutions with strong governance and measurable