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ARTIFICIAL INTELLIGENCE DIRECTOR

Confidential

São PauloFull-timeMid LevelOn-site

Job Description

  • Location: São Paulo, SP.
  • Experience in advanced technology, business vision, and leadership.
  • Strong knowledge of Data and Artificial Intelligence governance, including frameworks and the practical application of LGPD, GDPR.
  • Experience in AI platform architecture, covering Large Language Models (LLMs), MLOps/LLMOps, RAG (Retrieval-Augmented Generation), AI agents, and integration with enterprise systems and legacy environments.
  • Experience in the financial management of AI environments.
  • Hands-on experience with cloud providers (AWS, Microsoft Azure, and Google Cloud Platform) and Generative AI ecosystems, such as OpenAI, Anthropic, Google Gemini, Amazon Bedrock, and related technologies.

Responsibilities:

  • Define and lead the Artificial Intelligence strategy.
  • Structure and evolve AI governance by establishing policies, processes, and controls regarding ethics, risk, regulatory compliance, information security, data privacy and the responsible use of Artificial Intelligence.
  • Define the technology architecture for the enterprise AI platform, establishing guidelines for in-house development, solution acquisition, model selection, integrations and technological evolution.
  • Develop and execute a comprehensive, long-term AI strategy aligned with business objectives. Define and track key performance indicators (KPIs).
  • Manage relationships and negotiations with strategic partners, cloud providers, AI platforms, EdTechs and other vendors.

Professional Profile:

  • Bachelor’s degree in Information Technology, Computer Science, Engineering, Data Science or related fields.
  • Postgraduate degree, MBA, or Master’s degree in Management, Strategy, Technology, Artificial Intelligence or related areas.
  • Over 10 years in leadership positions within the technology sector and in managing multidisciplinary teams. Corporate experience leading Artificial Intelligence and/or Data programs.
  • Ability to measure infrastructure and computing costs against productivity gains (ROI).
  • Experience in digital transformation.
  • Fluency in English.

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