[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