• Implement AI and automation solutions across multiple business operations and workflows. • Analyze existing processes and identify opportunities for automation and optimization. • Build and deploy AI-powered landing pages to support marketing initiatives. • Use AI tools to optimize content, messaging, and copy across digital channels. • Develop and implement automated workflows to streamline internal processes. • Work closely with leadership to recommend and deploy AI-driven operational improvements. • Continuously test, improve, and scale AI implementations across businesses.

• O Senior Microsoft AI Developer é responsável por projetar, desenvolver e evoluir soluções avançadas baseadas em IA, utilizando tecnologias Microsoft e Azure. • Essa função exige profundo conhecimento técnico, forte senso de ownership e capacidade de entregar soluções escaláveis de Generative AI em ambientes corporativos complexos. • O profissional atuará em estreita colaboração com times multifuncionais para projetar e implementar sistemas avançados de IA, incluindo frameworks multiagentes e soluções de automação inteligente, viabilizando transformação e inovação de negócios em escala. • Design, desenvolvimento e implementação de soluções de software baseadas em IA, utilizando Azure AI Foundry, Azure OpenAI e tecnologias Microsoft relacionadas. • Arquitetar e construir sistemas multiagentes e frameworks avançados de execução de tarefas com IA. • Projetar e integrar Graph connectors, plugins de API e Azure AI Search para suportar soluções corporativas inteligentes. • Traduzir requisitos complexos de negócio em arquiteturas técnicas escaláveis e seguras. • Atuar como responsável técnico pelas soluções, garantindo qualidade, performance, segurança e manutenibilidade. • Colaborar com times multidisciplinares (engenharia, produto, UX e stakeholders de negócio) para entregar resultados alinhados aos objetivos estratégicos. • Estabelecer e garantir boas práticas de engenharia, incluindo code reviews, documentação, estratégias de teste e padrões técnicos. • Investigar e resolver problemas complexos ao longo de todo o ciclo de vida do desenvolvimento de software. • Comunicar-se de forma clara com stakeholders técnicos e não técnicos, influenciando decisões e promovendo alinhamento. • Mentorar e apoiar outros engenheiros, contribuindo para a evolução técnica do time e melhoria contínua.

• Define and drive the company-wide AI strategy, identifying key opportunities for AI transformation across products, engineering, and operations; • Develop and maintain the AI adoption roadmap, including the selection of AI technologies, tools, and platforms; • Integrate AI solutions into company processes, including software development, data analysis, QA/testing, documentation, and customer support workflows; • Build and support internal platforms and tools that enable teams to effectively leverage AI capabilities; • Collaborate with engineering, analytics, and product teams to identify and implement practical AI use cases; • Lead internal AI initiatives, including experimentation, proof-of-concept projects, and rapid evaluation of emerging AI tools; • Educate and support teams in adopting AI tools and best practices through workshops, training sessions, and internal knowledge sharing; • Promote and develop a strong AI-driven culture across the organization; • Provide internal AI consulting to business units, helping identify opportunities and evaluate the potential ROI of AI initiatives.

• Define and drive the company-wide AI strategy, identifying key opportunities for AI transformation across products, engineering, and operations • Develop and maintain the AI adoption roadmap, including the selection of AI technologies, tools, and platforms • Integrate AI solutions into company processes, including software development, data analysis, QA/testing, documentation, and customer support workflows • Build and support internal platforms and tools that enable teams to effectively leverage AI capabilities • Collaborate with engineering, analytics, and product teams to identify and implement practical AI use cases • Lead internal AI initiatives, including experimentation, proof-of-concept projects, and rapid evaluation of emerging AI tools • Educate and support teams in adopting AI tools and best practices through workshops, training sessions, and internal knowledge sharing • Promote and develop a strong AI-driven culture across the organization • Provide internal AI consulting to business units, helping identify opportunities and evaluate the potential ROI of AI initiatives.