AI Implementation Engineer

Pengiklan Anonim

Jakarta Timur

On-site

IDR 180,000,000 - 300,000,000

Full time

3 days ago
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Job summary

Pengiklan Anonim seeks an AI delivery lead to drive end-to-end deployment of AI and data-driven solutions for enterprise clients. You will translate business challenges into scalable architectures and collaborate with engineering and product teams to tailor solutions for diverse environments.

You will also shepherd multiple high-priority projects, coordinate across teams, remove blockers, and ensure deployments deliver measurable outcomes in terms of efficiency, revenue, and customer experience.

Responsibilities

  • Lead end-to-end deployment of AI and data-driven solutions for enterprise customers
  • Translate business challenges into technical requirements and scalable architectures
  • Work alongside engineering and product teams to customize solutions for specific customer environments
  • Drive adoption of AI capabilities across operational and business functions
  • Identify opportunities where AI can improve efficiency, productivity, revenue, decision-making, or customer experience
  • Lead multiple high-priority implementation projects simultaneously
  • Coordinate across engineering, product, data, and customer teams
  • Remove execution blockers and drive projects to completion
  • Ensure deployments achieve measurable customer outcomes

Job description

Responsibilities
  • Lead end-to-end deployment of AI and data-driven solutions for enterprise customers
  • Translate business challenges into technical requirements and scalable architectures
  • Work alongside engineering and product teams to customize solutions for specific customer environments
  • Drive adoption of AI capabilities across operational and business functions
  • Identify opportunities where AI can improve efficiency, productivity, revenue, decision-making, or customer experience
Project Execution
  • Lead multiple high-priority implementation projects simultaneously
  • Coordinate across engineering, product, data, and customer teams
  • Remove execution blockers and drive projects to completion
  • Ensure deployments achieve measurable customer outcomes
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