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

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

==> 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 \u007C AgentCore \u007C RAG \u007C OpenSearch \u007C DynamoDB \u007C API Gateway \u007C Lambda \u007C Step Functions \u007C CloudWatch \u007C X-Ray \u007C Terraform \u007C CDK \u007C Python \u007C MCP \u007C CI/CD \u007C Docker \u007C 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

Our benefits:

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;

Profit Sharing and Results Participation (PLR);

Life insurance

Continuous learning platform (CI&T University);

Discount club

Free online platform dedicated to physical, mental, and overall well-being

Pregnancy and responsible parenting course

Partnerships with online learning platforms

Language learning platform

And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.