Lead AI Architect for Enterprise Solutions

Tap Growth ai

Taguig

On-site

PHP 1,200,000 - 2,000,000

Full time

4 days ago
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Job summary

Tap Growth ai seeks an AI Architect to design scalable, secure AI-powered applications and own solution architecture from concept to implementation. You will guide teams and stakeholders to deliver high-quality AI solutions aligned with best practices.

Responsibilities include leading architecture reviews, mentoring engineers, and shaping enterprise AI architecture standards across projects.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, IT, or related field.
  • 3–7 years of software engineering or solution architecture, or systems design.
  • Experience designing or implementing enterprise technology solutions.
  • Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP).
  • Strong experience gathering requirements and translating them into technical solutions.

Responsibilities

  • Design and own solution architecture for AI projects from end to end.
  • Work closely with business stakeholders to understand requirements and define project success criteria.
  • Evaluate proposed solutions against established architectural standards and best practices.
  • Develop evaluation strategies, governance, and safety frameworks for AI solutions.
  • Lead architecture reviews and provide technical guidance to project teams.
  • Mentor engineers and implementation teams on architecture decisions.
  • Contribute to the continuous improvement of architecture standards and frameworks.
  • Collaborate with AI Engineers, Platform Engineers, and technical leadership across projects.

Skills

Problem-solving
Communication
Leadership
Stakeholder management
Technical guidance

Education

Bachelor's degree in Computer Science/Engineering/IT

Tools

Azure
AWS
GCP
Azure OpenAI

Job description

Tap Growth ai seeks an AI Architect to design scalable, secure AI-powered applications and own solution architecture from concept to implementation. You will guide teams and stakeholders to deliver high-quality AI solutions aligned with best practices.

Responsibilities include leading architecture reviews, mentoring engineers, and shaping enterprise AI architecture standards across projects.

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