[Job-29644] MASTER AI / Machine Learning Specialist ( AWS ), Brazil

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. ==> Only CV in English will be consider ==> Only Fluent English - C1 or higher speakers will be consider  (you´ll have a lot of interaction with clients and stakeholders in US daily).  ==> 100% remote About the Project We are building an AI-powered media planning platform that transforms highly manual and expert-dependent workflows into an intelligent conversational experience. The solution leverages a multi-agent architecture orchestrated through AWS Bedrock to guide users across complex campaign planning processes, integrating real-time enterprise data and generating mathematically optimized media proposals. The platform combines: Agentic AI architectures Retrieval-Augmented Generation (RAG) Mathematical optimization engines Enterprise system integrations Workflow automation from opportunity discovery to campaign activation This is a high-impact initiative focused on building scalable, production-grade AI systems using modern AWS AI/ML services. Role Overview As a MASTER AI / Machine Learning Specialist, you will be responsible for designing and implementing the agentic intelligence layer of the platform. You will architect and develop specialized AI agents capable of collaborating across complex planning workflows, integrating enterprise tools and data sources while ensuring scalability, observability, governance, and production reliability. This role requires deep hands-on expertise in AWS Generative AI services, multi-agent systems, orchestration patterns, prompt engineering, and production ML operations. Key Responsibilities Design and implement multi-agent AI architectures using AWS Bedrock Develop agent orchestration logic and collaborative agent workflows Configure and manage AWS Bedrock Agents, Knowledge Bases, and Guardrails Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings Implement tool integrations using Model Context Protocol (MCP) and API-based services Optimize LLM behavior through prompt engineering, tuning, and context management Develop observability and monitoring strategies for AI workflows using CloudWatch and X-Ray Build scalable event-driven architectures and resilient integration patterns Design error handling, retry strategies, and graceful degradation mechanisms Collaborate with engineering, product, and architecture teams to deliver production-grade AI solutions Support infrastructure automation and deployment pipelines using IaC and CI/CD practices Ensure governance, security, auditability, and compliance standards across AI systems Must Have Qualifications Proven experience building production AI/ML systems on AWS Strong hands-on expertise with AWS Bedrock Agents (AgentCore) Experience designing multi-agent systems and agent orchestration workflows Experience with AWS Bedrock Knowledge Bases (RAG), vector embeddings, and OpenSearch Serverless Expertise with AWS Bedrock Guardrails, including PII protection and content governance Experience implementing tool calling, function invocation, and state management Strong prompt engineering and LLM optimization experience Deep understanding of AWS observability tools:  CloudWatch,  X-Ray,  Distributed tracing Experience with:  API Gateway,  DynamoDB,   Event-driven architectures Familiarity with Infrastructure as Code:  Terraform,  AWS CDK Strong knowledge of RESTful APIs and integration patterns Experience with CI/CD pipelines for ML and AI systems Ability to design resilient and fault-tolerant AI applications Strong communication, collaboration, and technical documentation skills Nice to Have Experience with Model Context Protocol (MCP) Experience with AWS Step Functions for workflow orchestration Familiarity with: CloudFront, S3, AWS WAF Knowledge of conversational AI UX patterns and hybrid interaction models Experience with session persistence and conversation state management Understanding of compliance and governance requirements:  PII handling,  Audit trails,  Data retention Experience optimizing AWS Bedrock and OpenSearch operational costs Familiarity with LLM evaluation frameworks and AI quality metrics Experience with multi-turn dialogue management and context preservation Knowledge of explainability and AI reasoning visualization techniques Preferred Profile We are looking for someone who: Has strong ownership and autonomy Is proactive and solution-oriented Can operate effectively in ambiguous and fast-paced environments Communicates clearly with both technical and non-technical stakeholders Has a product mindset and business-oriented thinking Demonstrates urgency, accountability, and collaboration Enjoys building scalable AI platforms from the ground up Technology Stack AWS Bedrock | AgentCore | RAG | OpenSearch | DynamoDB | API Gateway | Lambda | Step Functions | CloudWatch | X-Ray | Terraform | CDK | Python | MCP | CI/CD | Docker | Event-Driven Architecture Why Join Us Opportunity to build cutting-edge enterprise AI solutions Work with modern agentic AI architectures and AWS GenAI ecosystem High visibility and strategic impact project Collaborative and innovation-driven environment Opportunity to shape the future of AI-powered workflow automation