Top Artificial Intelligence Jobs in Brazil

The Software Engineer will design and implement search architecture to enhance data discoverability, handle significant feature ownership, perform code reviews, and mentor junior members in a Kubernetes environment.

The AI Engineer will develop, optimize, and manage AI models using Large Language Models, ensuring integration with software systems and maintaining performance.

Lead the engineering execution of Assist Agents, focusing on architecture, scalability, and integration for real-time AI interactions. Mentor engineers, manage technical direction, and ensure long-term success of the product.

Build and own observability, lifecycle management, and tooling for LLM-powered features. Design closed-loop evaluation pipelines, dashboards for cost/usage/latency, tie user feedback to prompts, and establish prompt development, testing, deployment, and monitoring best practices while partnering across engineering teams.

The role involves overseeing multiple projects within the EPMO, driving project delivery, coaching leaders, and integrating AI solutions while ensuring alignment with enterprise objectives.

Serve as Product Owner for Product Lifecycle systems, prioritize and manage the backlog, align cross-functional stakeholders, guide Agile delivery, validate increments against acceptance criteria, and support release planning, demos, UAT, and launch activities to deliver supply-chain-enabled solutions.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

Develop production software and tests for LLM solutions. Design AI platforms on Kubernetes, maintain CI/CD pipelines, and monitor AI performance.

The Senior Field Data Scientist will collaborate with customers to implement ML solutions, improve architectures, and ensure customer success through technical expertise and guidance.

The Data Scientist will collaborate with customer teams and colleagues on implementations, improve product capabilities, work on reinforcement learning algorithms, and ensure customer success through technical expertise.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

Lead Hydro IT strategy and delivery, optimize IT G&A costs, drive data/analytics/AI programs, ensure cybersecurity and infrastructure resilience, manage cross-functional projects, audits, and vendor relationships, and lead team recruitment and performance.

Manage key accounts, drive strategic growth, deepening relationships, and increasing market share through effective sales processes and consultative selling.

The Senior Business Analyst will facilitate requirement gathering, document business needs into clear requirements, support pre-sales, and contribute to project delivery.

As a Staff Technical Solutions Engineer, you will resolve customer issues related to Apache Spark, provide guidance on best practices, and assist customers in optimizing their use of Databricks products.

Lead global sales technology ecosystem to enhance revenue growth; manage performance analytics, team leadership, workflow processes, stakeholder communication, and continuous improvement of sales tools.

Collaborate with clients to implement data integration and ML models, enhance product capabilities, and ensure successful adoption and outcomes.

As an AI Product Engineer, you will enhance internal tooling, support client projects, improve engineering workflows, and partner with teams to optimize processes for faster delivery of solutions.

As an AI Product Engineer, you'll build end-to-end solutions, utilizing coding agents and AI frameworks, while collaborating with teams to address client needs swiftly and effectively.

Design and build AI workflows and solutions, facilitate workshops, develop proof-of-concept solutions, and collaborate with cross-functional teams to leverage AI technology.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

The Lead Product Designer for Applied AI will design AI-native experiences and collaborate with engineering to create innovative product workflows. Responsibilities include defining AI interaction patterns, prototyping user flows, and ensuring product usability.

As a Senior Software Engineer II, you will design and build cloud-native APIs, collaborate on AI integrations, and enhance the web platform architecture.

As an AI Engineer, you will develop and implement AI solutions, integrate complex data, and drive customer-facing technology solutions. This involves coding, debugging, and collaborating closely with clients to understand and address their challenges.