20 publicaciones de empleo destacadas de lead engineer en buenos aires (¡Están contratando!)

Lead Data Engineer
Marvik —Buenos Aires, Buenos Aires
QA Engineer
Intraway —Buenos Aires, Buenos Aires
Senior Lead Software Engineer
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
PHP Engineer
MailerLite —Buenos Aires, Buenos Aires
- Tiempo completo
Staff/Lead Front-end Engineer
Mimica —Buenos Aires, Buenos Aires
- Tiempo completo
Lead Firewall SD Engineer
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
Team Lead Software Engineer
Fudo —Capital Federal, Buenos Aires
- Tiempo completo
Postulación rápida
Delivery Engineer
Altscore —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Solutions Engineer
Sezzle —Capital Federal, Buenos Aires
Software Engineer
Epsilon —Buenos Aires, Buenos Aires
- Tiempo completo
Cost Engineer
ExxonMobil —Capital Federal, Buenos Aires
Process Engineer
Motherson —Buenos Aires, Buenos Aires
- Tiempo completo
GRC Engineer
FeverUp —Capital Federal, Buenos Aires
Postulación rápida
DevOps Engineer
Pearster —Capital Federal, Buenos Aires
SRE Engineer / Tech Lead
Fudo —Capital Federal, Buenos Aires
- Tiempo completo
Postulación rápida
Security Engineer
Canals —Buenos Aires, Buenos Aires
- Tiempo completo
Solution Engineer
Salesforce —Buenos Aires, Buenos Aires
- Tiempo completo
1d
Sr Lead Security Infrastructure Engineer - HSM Management
JPMorganChase —Buenos Aires, Buenos Aires
- Tiempo completo
9d
Backend Go Lead Engineer
ITC WORLDWIDE —Buenos Aires, Buenos Aires
- Por contrato
Postulación rápida
Project Manager
Capgemini Sogeti —Buenos Aires, Buenos Aires

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Lead Data Engineer

Marvik -
Buenos Aires, Buenos Aires

Postulate ahora

Detalles del empleo

Indefinido

Descripción completa del empleo

Want to build the "plumbing" that powers not just analytics, but the next generation of AI applications? ️

What do we offer:

Projects ranging from massive batch processing to real-time streaming and event-driven architectures.
Exposure to the cutting edge of AI Engineering: integrating Vector Databases and preparing unstructured data (text, images).
Opportunity to work with top-tier open-source orchestration and processing tools (Airflow, Spark, Kafka).
A culture of continuous learning

‍ Responsibilities:

Partner with the CTO and leadership to set the Intelligence strategy and roadmap; own the execution
Build, hire, and develop the Intelligence team — set the bar for craft, shape the operating cadence, and build the collaboration patterns with product, platform, and engineering
Stand up the canonical data substrate: schema discipline, tenancy isolation, data contracts, lineage, and governance that AI/ML workloads run cleanly against
Stand up the ML and AI platform: model lifecycle, feature store, vector store, training and serving infrastructure, and MLOps practice
Lead the learning and reasoning capabilities of the platform: RAG architectures, agentic data systems, knowledge graphs, and the patterns that let Stratus's data compound into platform intelligence
Develop and drive evaluation frameworks measuring model quality, agent reliability, drift, and platform effectiveness — make AI workloads observable to engineering, product, and customer success
Drive the build-vs-buy posture for the AI/ML stack; set production readiness standards for AI workloads in close collaboration with the platform team
Partner with product on the AI use case portfolio; engage directly with customers when needed to ground Intelligence decisions in real workflow problems

If you have:

AI-driven leadership posture: you personally set the bar for AI-augmented practice — you build with AI tools, expect your team to, and know how to distinguish what's ready to ship from what still needs a human call
10+ years of professional experience in AI/ML, data engineering, or data science, with 4+ years in formal leadership roles (Senior Manager, Director, or Head of) at a B2B SaaS or AI/ML platform company
Demonstrated track record of building and leading AI/ML or data teams of 5–15 people, with a strong hiring track record in the AI/ML market within the last two to three years
Deep technical credibility across the modern AI/ML stack: data platforms (Postgres, pgvector, MongoDB or equivalent), ML platforms (training, serving, MLOps), and generative AI (LLMs, embeddings, RAG, fine-tuning, evals)
Experience shipping production ML and AI workloads to enterprise customers with the trust patterns that come with it: evals, observability, drift detection, confidence scoring
Excellent communication across all audiences — engineers, product, executives, and customers; strong cross-functional partnership instincts with product, engineering, and customer-facing teams

It’s a plus:

Experience in construction tech, MEP, BIM, AEC, or other CAD and engineering workflow domains
Background in AI security and threat modeling: prompt injection, data exfiltration, agent abuse, tenant isolation for AI workloads
Experience with Azure-native AI architecture (Azure ML, Azure AI Foundry, AKS)
Prior experience at a Series B or growth-stage company navigating the transition from product-market fit to scale
Background in regulated or enterprise sales motions where compliance, security, and SLA discipline are non-negotiable

This call is made within the framework of Law 19.691 on the Promotion of Employment for Persons with Disabilities, including individuals registered in the National Registry of Persons with Disabilities of the Ministry of Social Development

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Refiná tu búsqueda

lead engineer empleos en buenos aires

Lead Data Engineer

QA Engineer

Senior Lead Software Engineer

PHP Engineer

Staff/Lead Front-end Engineer

Lead Firewall SD Engineer

Team Lead Software Engineer

Delivery Engineer

Solutions Engineer

Software Engineer

Cost Engineer

Process Engineer

GRC Engineer

DevOps Engineer

SRE Engineer / Tech Lead

Security Engineer

Solution Engineer

Sr Lead Security Infrastructure Engineer - HSM Management

Backend Go Lead Engineer

Project Manager

Quiero recibir la alerta de empleo más reciente para lead engineer en buenos aires

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