AI/ML Solutions Architect

Provectus
Medellín; Antioquia, CO
Career-pivot friendly

Who this role is best for

Best suited to mid-level professionals with ML architecture experience who excel in client-facing technical roles.

Best fit for

  • Technical professionals comfortable leading client discussions and translating business needs into ML solutions.
    — “lead pre-sales technical discussions, design ML architectures that solve business problems
  • Candidates with a blend of deep technical skills and strong communication abilities.
    — “both deep technical expertise and strong communication skills
  • Individuals who thrive in roles requiring both solution design and client interaction.
    — “technical bridge between clients and delivery teams

Things to consider

  • High client interaction expected, requiring frequent communication and presentation skills.
    — “highly client-facing role
  • Solutions must meet scalability and feasibility criteria alongside client alignment.
    — “ensure solutions are feasible, scalable, and aligned with client needs

How to stand out

  • Highlight past projects where you designed ML solutions for business problems.
    — “design ML architectures that solve business problems
  • Demonstrate experience in pre-sales or technical client engagement scenarios.
    — “lead pre-sales technical discussions
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful client engagements
  • positive client feedback
  • technical leadership
Typical background
data-sciencemachine-learningsoftware-engineering

Skills & requirements

Required

Machine-learningData-scienceCloud-computingCommunication-skills

Preferred

AWSAzureGCP

Stack & domain

Communication

About the role

Original posting from Provectus via Lever

As an 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.

Source: Provectus careers (Lever)

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