AI/ML Solutions Architect

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. Technically manage a team of 2–3 AI and cloud engineers focused on rapid prototyping in AWS .

Posted 10/26/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing scalable AI/ML solutions using AWS services, with a strong focus on Python programming and integration of AI functionalities. Proven ability to lead teams, mentor engineers, and deliver end-to-end solutions while maintaining a customer-centric approach.

Highest-signal resume keywords

AWS Services (SageMaker, Bedrock, Glue)Python ProgrammingAI/ML Solution DevelopmentAPI IntegrationTeam Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Model DevelopmentPrompt EngineeringData EngineeringSQL ProficiencyETL and Data ModellingTerraform/TerragruntCI/CD Pipeline DesignVector Database ManagementRAG and EmbeddingsAWS CloudFormation

Soft Skills

Problem-SolvingCommunicationCollaborationIndependenceAdaptability

Tools & Technologies

REST APIsSaaS PlatformsAmazon Bedrock AgentCoreLangChainLlamaIndexPydanticOpenSearchElasticsearchHybrid and Semantic SearchAWS Innovations

Certifications & Qualifications

AWS Professional/Specialty Certification

Industry Keywords

AI ProjectsCloud EngineeringRapid PrototypingAgentic SystemsBusiness Workflow AutomationData FlowsDocument PreparationCustomer Technology ConsultingDelivery Team ManagementAWS Competency and Service Delivery Program

Tech Stack

Tools & technologies

AWSCloudElasticSearchETLPythonSQLTerraform

About the role

Key responsibilities & impact

Technically manage a team of 2–3 AI and cloud engineers focused on rapid prototyping in AWS
Mentor and provide technical support to junior and mid-level teammates
Act as a trusted advisor to clients
Develop scalable services implementing AI/ML functionalities, including LLM, ML, and AI models
Design and build agentic systems that plan, call tools, and automate business workflows
Develop LLM-powered applications and RAG pipelines, including chunking, embedding, retrieval strategies, evaluation, and iteration
Work with vector databases and search, including indexing, hybrid and semantic search, and relevance tuning
Integrate AI services with external systems using REST APIs, authentication, webhooks, and SaaS platforms
Perform prompt engineering, model selection, and systematic evaluation of LLM outputs
Build scalable Python services and data flows for ingestion, transformation, and document preparation, including Text2SQL
Implement AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and Textract
Understand customer business problems and provide technology consulting
Own end-to-end solutions, make key technical decisions, and drive delivery teams
Describe infrastructure using Terraform/Terragrunt or AWS CloudFormation
Design, build, and maintain CI/CD pipelines across integration and test environments
Stay current with AWS innovations
Contribute to AWS Competency and Service Delivery Program activities

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, or a related field
Multiple years of experience, including recent hands-on work on AI projects
Experience with software engineering, data engineering, or data science
Experience with AWS technologies such as SageMaker, Bedrock, Glue, MWAA, EMR, RDS, Aurora, S3, OpenSearch, or Elasticsearch
Strong proficiency in Python
Hands-on experience with the GenAI ecosystem, including Amazon Bedrock AgentCore, LangChain, LlamaIndex, agent frameworks, LLM provider SDKs, or Pydantic
Good command of SQL
Working understanding of ETL, pipelines, and data modelling
Proven experience designing, consuming, and integrating APIs
Understanding of RAG, embeddings, vector databases, tool calling, agent patterns, prompt engineering, and evaluation
Working knowledge of AWS, including hands-on use of at least one AI/ML or serverless service
Strong cloud-agnostic experience across multiple providers is a plus
Excellent problem-solving and communication skills
Ability to work independently and collaboratively in a fast-paced environment
AWS Professional/Specialty Certification is a plus
Advanced, intermediate, or beginner English level requested in application questions

Benefits

Comp & perks

Opportunity to work on international projects with a highly qualified engineering team
Fast iteration and quick feedback through POC-to-MVP-to-production work
Professional development through AWS Professional/Specialty certifications based on personal interest
Opportunity to contribute to AWS Competency and Service Delivery Program
Remote work in Brazil