Provectus3mo ago

ML/Data Solutions Architect

Colombia·MedellínRemoteFull-timemid

Data ScienceOtherSolution ArchitectData Solutions ArchitectMachine LearningData & AI

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Quick Summary

Overview

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives…

Requirements Summary

Experience in Generative AI implementations. Proficiency with graph databases (Neo4j, AWS Neptune). Knowledge of data mesh principles and data contracts.

Technical Tools

awsazuredockergcpjavakubernetespythonpytorchterraformtypescriptagiledata-analysisetlmachine-learningmentoringmicroservices

Provectus is a global AI and cloud consulting company helping enterprises turn artificial intelligence and data into production-ready business solutions. We specialize in designing, building, and scaling end-to-end AI/ML systems, data platforms, and cloud-native architectures, with deep expertise in AWS, MLOps, and enterprise-grade AI delivery. We are an official Anthropic partner, working with cutting-edge foundation models to help organizations safely and effectively adopt advanced AI capabilities.

We are looking for a Solutions Architect to lead the design and delivery of scalable data and AI/ML architectures across cloud and on-premise environments. In this role, you will own complex client engagements end-to-end, serve as a trusted technical advisor to senior stakeholders, and drive innovation across Big Data, machine learning, and real-time analytics. You will work closely with cross-functional teams, mentoring technical talent and aligning architectural decisions with measurable business outcomes.

Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms

Define and execute data lifecycle processes, including ingestion, storage, processing, and visualization

Design and validate proofs of concept for emerging technologies such as Generative AI and Machine Learning

Drive best practices for backend and ML services to ensure scalable and maintainable solutions

Ensure all solutions adhere to security, compliance, and architecture frameworks such as AWS Well-Architected and GCP Architecture Framework

Oversee data governance and data quality processes across platforms

Lead complex, high-impact customer engagements, providing strategic technical vision aligned with business goals

Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor

Collaborate with business units and stakeholders to align architectural solutions with organizational objectives

Lead technical workshops, training sessions, and client presentations

Lead and mentor cross-functional teams, providing guidance to architects and technical leaders

Stay current with emerging technology trends and continuously evolve the architecture strategy

7+ years of experience in solutions architecture with a strong focus on Big Data and cloud platforms (AWS, GCP, or Azure)

Proficiency in data engineering and analytics, including designing data pipelines and architectures using cloud-native data stacks

Proven experience with data lakes, data warehouses, and real-time data analytics

Strong understanding of AI/ML concepts and hands-on experience integrating AI/ML components into solutions

Solid understanding of machine learning and MLOps tooling, including PyTorch, SageMaker, and MLflow

Proven experience with microservice architecture and containerized deployment

Hands-on experience with Kubernetes, Docker, and containerized applications

Proficiency in one or more backend languages such as TypeScript, Java, or Python

Technical pre-sales or sales experience with cloud, Big Data, and ML solutions

Strong leadership, mentoring, and cross-functional collaboration skills

Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences

Familiarity with agile methodologies

Experience implementing Generative AI solutions

Proficiency with graph databases such as Neo4j or AWS Neptune

Knowledge of data mesh principles and data contracts

Operational experience with infrastructure deployment tools such as AWS CDK, CloudFormation, or Terraform

A budget for medical insurance or sports club membership coverage

Paid sick leave, vacation, and public holidays

Remote-first environment with flexible working hours aligned to your local time zone

Long-term B2B engagement

Internal training programs covering Leadership, Public Speaking, and technical certifications

Full support for AWS and other professional certifications

Learning budget and conference attendance

Access to the latest AI tools and subscriptions for professional development

Equipment and all the tools you need to work productively

Opportunity to work with cutting-edge ML, LLM, and agentic AI technologies

Clear career path toward Leadership or Architect roles

High-visibility role with exposure to diverse clients and business challenges

Opportunity to contribute to innovative AI-driven solutions for global clients

Work alongside experienced experts in AI, Data, and Cloud technologies

Location & Eligibility

Where is the job

Medellín, Colombia

Remote within one country

Who can apply

Listed under

Worldwide

Listing Details

Posted: March 25, 2026
First seen: March 26, 2026
Last seen: June 24, 2026

Posting Health

Days active: 89
Repost count: 0
Trust Level: 39%
Scored at: June 24, 2026

Signal breakdown

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Provectus

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Provectus is a leading AI consultancy established in 2010, focused on driving innovation through tailored AI solutions.

Employees

750

Founded

2010

Domain

Jobs

External application · ~5 min on Provectus's site

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ML/Data Solutions Architect

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ML/Data Solutions Architect

Quick Summary

Location & Eligibility

Listing Details

Posting Health

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