Define, implement and automate AI indicators (value, risk, quality, cost, usage and compliance) directly in tools and platforms
Develop technical and operational metrics for models, agents and AI solutions
Implement continuous monitoring (performance, drift, bias, cost, availability)
Provide technical support to AI Governance Committees, delivering evidence and analyses
Integrate AI indicators with business, risk and compliance data
Support technical audits and automated controls
Contribute to the standardization of metrics, logs and audit trails

Bachelor's degree in Engineering, Computer Science, Data Science or related fields
Advanced courses in:
Technical AI Governance
MLOps / Observability
Model Metrics and Monitoring
Responsible AI (bias, explainability and risk)
Languages: Python, SQL
AI/ML platforms and LLMs
Monitoring and observability tools
BI and visualization (Power BI, Tableau or similar)
APIs, data pipelines and automation
Desired certifications:
Cloud certifications (AWS, Azure, GCP)
Certifications in ML, Data Engineering or MLOps
Certifications in Responsible AI / AI Governance (technical)

Additional fixed 14th and 15th salaries
Performance-based profit sharing (according to seniority)
Health and dental plans with no co-pay
Well-being programs through Wellhub (formerly Gympass): nutrition, psychology, occupational health, massage, running groups and local gym access
Meal and food allowance (VA/VR) with flexible allocation between cards, no co-pay
Extended maternity and paternity leave
Childcare or nanny assistance for children up to 6 years and 11 months
Support for children with disabilities, no age limit
Life insurance
Private pension plan up to 7% of salary
Training platform — Sicredi Aprende, offering a variety of courses
40-hour work week — using a time bank system
Remote work allowance (except for positions requiring 100% on-site presence)

Artificial Intelligence Governance Specialist

Key skills