AI Solutions Architect & Automation Strategist

Capgemini Engineering

Bogotá

Vor Ort

COP 120.000.000 - 180.000.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Capgemini Engineering in Bogotá seeks an AI Solutions professional with expertise in Data Science, Generative AI, AI Agents, process assessment, and transformation to identify automation opportunities. This role blends consulting, solution architecture, AI engineering, and stakeholder management to deliver scalable AI-powered business solutions.

You will design architectures, lead discovery sessions, develop prototypes, govern AI practices, and support Azure-based deployments across multi-cloud

Qualifikationen

  • 4+ years in Data Science, Analytics, AI, Automation, or Transformation.
  • 3+ years designing or implementing AI/ML or GenAI solutions.
  • Experience engaging with senior stakeholders and leading workshops.
  • Experience mentoring teams.

Aufgaben

  • Identify automation opportunities by analyzing processes.
  • Design GenAI architectures aligned to business goals.
  • Assess feasibility, complexity, and risk of automation projects.
  • Lead discovery sessions with stakeholders and capture requirements.
  • Develop prototypes and production-ready AI solutions.
  • Define AI governance, monitoring, and adoption frameworks.
  • Create executive recommendations and roadmaps.
  • Support Azure-based multi-cloud deployments and CI/CD pipelines.

Kenntnisse

Data Science
AI/GenAI
Automation
Analytics
Solution Consulting
Stakeholder Management

Tools

Azure
CI/CD
Multi-cloud

Jobbeschreibung

Capgemini Engineering in Bogotá seeks an AI Solutions professional with expertise in Data Science, Generative AI, AI Agents, process assessment, and transformation to identify automation opportunities. This role blends consulting, solution architecture, AI engineering, and stakeholder management to deliver scalable AI-powered business solutions.

You will design architectures, lead discovery sessions, develop prototypes, govern AI practices, and support Azure-based deployments across multi-cloud

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