CI&T

AI/Machine Learning Specialist, AWS

CI&T

full-time

Posted on:

Location Type: Remote

Location: Colombia

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Tech Stack

AWSDynamoDBRayTerraform

About the role

  • Design and implement the agentic core of the platform
  • Build specialized agents that collaborate to complete complex planning workflows
  • Architect the agent orchestration logic
  • Implement tool integrations via Model Context Protocol (MCP)
  • Configure AWS Bedrock components (Agents, Knowledge Bases, Guardrails)
  • Establish observability infrastructure to ensure transparency and debuggability
  • Ensure deep expertise in AWS generative AI services, prompt engineering, agentic systems, and production ML operations

Requirements

  • Advanced/Fluent English skills
  • Experience building production ML/AI systems on AWS
  • Hands-on expertise with AWS Bedrock Agents (AgentCore), including agent orchestration, tool integration, and multi-agent coordination
  • Experience with AWS Bedrock Knowledge Bases (RAG), OpenSearch Serverless, and vector embeddings
  • Proficiency in AWS Bedrock Guardrails for content filtering, PII protection, and policy enforcement
  • Experience implementing agentic workflows with tool calling, function invocation, and state management
  • Experience with prompt engineering, temperature tuning, and LLM behavior optimization
  • Strong understanding of AWS observability tools: CloudWatch, X-Ray, and distributed tracing
  • Experience with API Gateway, DynamoDB, and event-driven architectures
  • Familiarity with Infrastructure as Code (Terraform or CDK)
  • Strong understanding of RESTful APIs and integration patterns
  • Experience with CI/CD pipelines for ML systems
  • Ability to design error handling, retry logic, and graceful degradation strategies
  • Strong documentation and communication skills
  • NICE TO HAVE
  • Experience with Model Context Protocol (MCP) or similar tool integration frameworks
  • Knowledge of Amazon Cognito for authentication and SSO integration
  • Experience with CloudFront, S3, and WAF for secure frontend delivery
  • Familiarity with conversational AI design patterns (Smart Cards, hybrid input modalities)
  • Knowledge of session management and conversation state persistence
  • Understanding of compliance requirements (PII handling, audit trails, data retention)
  • Experience with AWS Cost Optimization for Bedrock and OpenSearch workloads
  • Familiarity with LLM evaluation frameworks and agent performance metrics
  • Experience with multi-turn dialogue management and context preservation
  • Knowledge of agent reasoning visualization and explainability techniques
  • Experience with AWS Step Functions for complex workflow orchestration
Benefits
  • Premium Healthcare
  • Meal voucher
  • Maternity and Parental leaves
  • Mobile services subsidy
  • Sick pay-Life insurance
  • CI&T University
  • Colombian Holidays
  • Paid Vacations
  • And many others.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AWS Bedrockagent orchestrationtool integrationproduction ML systemsprompt engineeringtemperature tuningRESTful APIsCI/CD pipelinesInfrastructure as Codemulti-agent coordination
Soft Skills
strong documentation skillscommunication skillserror handlingretry logicgraceful degradation strategies