Senior Data and AI Engineer – Hybrid

Description

Job Summary: A professional to design and implement scalable cloud solutions, develop data pipelines, and build containerized environments integrated with AI. Key Highlights: 1. Experience in scalable cloud solutions, preferably on GCP. 2. Proficiency in Python and SQL for data engineering. 3. Hands-on experience with Kubernetes, Docker, and IaC practices. Accenture is a global leader in strategy, consulting, technology, and operations — helping the world’s largest organizations reinvent themselves by strengthening their digital core and unlocking the power of AI to create agile, enterprise-wide value. We do this by combining the talent of thousands of people with our assets, proprietary platforms, and deep ecosystem relationships. Our strategy is to be the preferred reinvention partner for our clients and the best place to work in the world — client-focused and AI-enabled. Through our Reinvention Services, we bring together capabilities across strategy, consulting, technology, operations, Song, and Industry X — combined with deep industry expertise — to create and deliver solutions and services for our clients. Our purpose is to fulfill the promise of technology and human creativity, and we measure our success by the 360° value we create for all our stakeholders. **What You’ll Do Day-to-Day** ----------------------------------------- * Design and implement scalable cloud solutions, with preference for GCP environments. * Develop and maintain data pipelines, services, and components using Python and SQL. * Build and evolve containerized environments using Docker and Kubernetes. * Implement Infrastructure-as-Code (IaC) practices using Terraform, Pulumi, or similar tools. * Develop and integrate solutions with AI agent frameworks and tool-calling orchestration. * Work with vector databases and RAG (Retrieval-Augmented Generation)-based architectures. * Support evaluation, monitoring, and evolution of language models and AI systems in production. **What We’re Looking for in the Person Joining Our Team** ------------------------------------------------------------------ * Proven experience designing scalable cloud solutions, preferably on GCP. * Proficiency in Python and SQL within data engineering contexts. * Hands-on experience with Kubernetes, Docker, and IaC practices such as Terraform, Pulumi, or similar. * Practical knowledge of AI agent frameworks and tool-calling orchestration. * Ability to operate at the intersection of data engineering, cloud infrastructure, and artificial intelligence. **Bonus Skills (Nice-to-Have)** ------------------------------------------- * Observability and monitoring of AI systems in production. * Contributions to open-source projects related to AI or data engineering. * Cloud certifications, preferably GCP (e.g., Professional Cloud Architect, Data Engineer, or similar). **Benefits** -------------- * Medical Insurance – 100% company-subsidized (for employee and dependents) * Dental Insurance * Meal or Food Allowance – no payroll deduction * Life Insurance * Private Pension Plan * Wellhub\* * Discounted Employee Stock Purchase Plan (ESPP) * Pharmacy Discount\* * Childcare Assistance\* * Language School Partnership\* * Extended Maternity and Paternity Leave * Profit Sharing Program (PPR)\* * As per current policy. **Location:** São Paulo \- SP **\#LI\-LATAM**