Provectus
Provectus20h ago
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AI/ML Solutions Architect

ColombiaColombia·MedellínRemoteFull-timemid
EngineeringSoftware Architect
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Quick Summary

Overview

As an AI/ML Solutions Architect, you'll be the technical bridge between clients and delivery teams. You'll lead pre-sales technical discussions, design ML architectures that solve business problems,

Technical Tools
EngineeringSoftware Architect
As an AI/ML Solutions Architect, you'll be the technical bridge between clients and delivery teams. You'll lead pre-sales technical discussions, design ML architectures that solve business problems, and ensure solutions are feasible, scalable, and aligned with client needs. This is a highly client-facing role requiring both deep technical expertise and strong communication skills.
  • Lead technical discovery sessions with prospective clients
  • Understand client business problems and translate them into ML solutions
  • Design end-to-end ML architectures and technical proposals
  • Create compelling technical presentations and demonstrations
  • Estimate project scope, timelines, cost, and resource requirements
  • Support General Managers in winning new business
  • Serve as the primary technical point of contact for clients
  • Manage technical stakeholder expectations
  • Present technical solutions to both technical and non-technical audiences
  • Navigate complex organizational dynamics and conflicting priorities
  • Ensure client satisfaction throughout the project lifecycle
  • Build long-term trusted advisor relationships
  • Collaborate with delivery teams to ensure smooth handoff
  • Provide technical guidance during project execution
  • Contribute to the development of reusable solution patterns
  • Share learnings and best practices with ML practice
  • Mentor engineers on client communication and solution design
  • Solution Design: Ability to architect end-to-end ML systems for diverse business problems
  • ML Lifecycle: Deep understanding of the full ML lifecycle from data to deployment
  • System Design: Experience designing scalable, production-grade ML architectures
  • Trade-off Analysis: Ability to evaluate technical approaches (cost, performance, complexity)
  • Feasibility Assessment: Quickly assess if ML is an appropriate solution for a problem
  • Multiple ML Domains: Experience across various ML applications (RAG, Computer Vision, Time Series, Recommendation, etc.)
  • LLM Solutions: Strong experience in architecting LLM-based applications
  • Classical ML: Foundation in traditional ML algorithms and when to use them
  • Deep Learning: Understanding of neural network architectures and applications
  • MLOps: Knowledge of production ML infrastructure and DevOps practices
  • AWS Expertise: Advanced knowledge of AWS ML and data services
  • GCP Expertise: Advanced knowledge of GCP ML and data services
  • Multi-Cloud Awareness: Understanding of Azure, GCP alternatives
  • Serverless Architectures: Experience with Lambda, API Gateway, etc.
  • Cost Optimization: Ability to design cost-effective solutions
  • Security and Compliance: Understanding of data security, privacy, and compliance
  • Data Pipelines: Understanding of ETL/ELT patterns and tools
  • Data Storage: Knowledge of databases, data lakes, and warehouses
  • Data Quality: Understanding of data validation and monitoring
  • Real-time vs Batch: Ability to design for different data processing needs

    • Location & Eligibility

    Where is the job
    Medellín, Colombia
    Remote within one country
    Who can apply
    CO

    Listing Details

    Posted
    May 28, 2026
    First seen
    May 28, 2026
    Last seen
    May 29, 2026

    Posting Health

    Days active
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    Repost count
    0
    Trust Level
    76%
    Scored at
    May 28, 2026

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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
    provectus.com
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