AI/ML Solutions Architect

Job not on LinkedIn

🕒 October 26

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 13%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Cloudary

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🎯 Recruiter

💼 Consulting

B2B • Recruitment • Consulting

Cloudary is a B2B talent and staffing company that provides Principal‑vetted cloud engineering and architecture talent exclusively to public cloud consulting and technology partners. They offer staff augmentation (rapid, white‑label deployment with near‑shore/on‑shore teams) and permanent placement services focused on senior Cloud, Data & AI roles, with an AWS specialty and fluency across GCP and Azure. Cloudary emphasizes Principal‑led live technical vetting, partner‑exclusive engagements, strict compliance (GDPR/AI), LATAM‑distributed teams for North American time‑zone alignment, and value propositions such as fast deployment (≤11 days for augmentation), median req‑to‑offer in ≤21 days for hiring, success‑only recruiting fees, high retention (90%+) and strong CSAT metrics.

📋 Description

• 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

• 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

• 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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume