Systems Architect – AI Specialist

Join Creative Tech

Join is seeking a Systems Architect specializing in AI to enhance quality and processes within the team. This hybrid role is based in Brasília, Brazil, focusing on innovative AI solutions.

Posted 5/26/2026full-timeBrasília • 🇧🇷 BrazilMid-LevelSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep Learningstatistical methodsmodel evaluationmodel validationexplainabilityMLOpsmodel lifecycle managementAI solutionsdata analysis

Soft Skills

collaborationcommunicationproblem-solvingcritical thinkingorganizational skillsethicsgovernanceresponsible AI practices

Tools & Technologies

technical documentationmethodological reports

Certifications & Qualifications

AI certificationData certificationCloud certification

Industry Keywords

performance metricsrobustnessreliabilitymodel impact metricsbias mitigationexperimentationdata governanceAI-based approachespostgraduate degreeBachelor's degree

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Develop, test, and evaluate ML and DL models guided by hypotheses and experimentation;
Plan, execute, and measure experiments in a structured manner;
Define performance, robustness, reliability, and model impact metrics;
Ensure explainability, traceability, and bias mitigation;
Support the transition from traditional solutions to AI-based approaches;
Work collaboratively across data, architecture, and governance domains;
Contribute to the definition and adoption of MLOps practices and responsible AI;
Produce technical documentation and methodological reports.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, IT Management or related fields (Engineering, Mathematics, Statistics, or similar).
Minimum of 5 years of experience in developing, implementing, and applying Artificial Intelligence solutions.
Knowledge of Machine Learning, Deep Learning, and applied statistical methods.
Experience with model evaluation, validation, and explainability.
Knowledge of MLOps and model lifecycle management.
Practice aligned with principles of ethics, governance, and responsible AI use.
Postgraduate degree in Data, Artificial Intelligence, Machine Learning or related areas (preferred).
Certifications in AI, Data, or Cloud (preferred).

Benefits

Comp & perks

Infrastructure allowance;
Flexible working hours;
Day off on your birthday — with a surprise!
Support for training and certifications;
Access to Alura;
Partnership with FIAP;
Rewarded employee referral program;
Health insurance;
Dental plan;
Vittude — mental health platform;
Wellhub — physical health support;
New Value — discount vouchers;
SESC benefits;
Meal and/or food allowance.