AI/ML Solutions Architect ( 107-10SENG-01 )
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 10h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 7d ago
The date the source published, not the day we noticed it (2026-10-26). Last seen at its source 1h ago.
We have tracked this listing since 26 Oct 2026 (7 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $80k–150k/yr
Middle 50% of 41 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Recruitee employer's own board first seen 7d ago · last seen 1h ago
The listing
Are you an experienced AI /ML Solution Architect with experience in AWS? If so, here is your chance to utilize your skills on upcoming international projects with our highly qualified engineering team . You will see a lot of ideas move from POC to MVP to production, which means fast iteration and quick feedback on whether something actually works. What we build has to survive contact with real users, real data and real infrastructure.
As an AI/ML Solutions Architect you will be part of unique AI/ML Service Line with a specific focus on delivering AI and data solutions across various projects. Furthermore, you will be responsible for technical coordinating a team of 2-3 engineers focused on designing and implementing AI solutions. Our current work centres on agentic automation, LLM-based RAG systems, Agentic systems, vector databases, and integrating AI into our clients' existing application landscapes. You will also work closely with colleagues from our application development and cloud migration service lines, on projects where AI, engineering and cloud come together.
What you’ll be doing:
Technically manage a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud.
Provide mentoring and technical support to junior and medium teammates.
Act as a trusted advisor to clients.
Develop highly scalable services realizing AI/ML functionalities (e.g. LLM, ML and AI models).
Design and build agentic systems that plan, call tools and automate real business workflows (Amazon Bedrock AgentCore).
Develop LLM-powered applications, including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration.
Work with vector databases and search: indexing strategies, hybrid and semantic search, relevance tuning.
Integrate AI services with external systems through APIs: REST endpoints, authentication, webhooks, third-party and client-side SaaS platforms.
Perform prompt engineering, model selection and systematic evaluation of LLM outputs.
Build scalable Python services and the data flows behind them (ingestion, transformation, document preparation), including AI-driven data access such as Text2SQL.
Use AWS cloud to implement AI solutions (e.g. Bedrock, SageMaker, Lambda, Textract).
Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
Owning the end-to-end solution as a key decision-maker and driving the delivery team
Describing infrastructures using Terraform (Terragrunt) or AWS CloudFormation
Designing, building and maintaining CI/CD pipelines in multiple integration and test environments
Staying up-to-date with the AWS innovations and achieving Professional/Specialty level certifications based on personal interest
Contributing to AWS Competency and Service Delivery Program to support AWS Partner journey
You are looking for us, if you have:
A bachelor's degree in Computer Science, Information Technology, or a related field
Multiple years of experience, including recent hands-on work on AI projects. Software engineering, data engineering and data science backgrounds are all a strong starting point.
Experience with some of the following technologies: SageMaker, Bedrock, Glue, MWAA, EMR, RDS, Aurora, S3, OpenSearch, ElasticSearch.
Strong proficiency in Python and hands-on experience with the GenAI ecosystem (e.g. Amazon Bedrock AgentCore, LangChain, LlamaIndex, agent frameworks, LLM provider SDKs, Pydantic).
Good command of SQL and a working understanding of core data engineering concepts (ETL, pipelines, data modelling).
Proven experience designing, consuming and integrating APIs, and connecting AI services to existing systems.
Solid understanding of LLM application concepts: RAG, embeddings, vector databases, tool calling, agent patterns, prompt engineering and evaluation.
Working knowledge of AWS, including hands-on use of at least one of its AI/ML or serverless services. Strong cloud-agnostic experience across multiple providers is a plus, but some practical AWS exposure is expected.
Excellent problem-solving and communication skills.
Excellent problem-solving and communication skills, and the ability to work independently and collaboratively in a fast-paced environment.
AWS Professional/Specialty Certification is a plus