Lead AI Architect for Enterprise Solutions

Tap Growth ai; Taguig; On-site; PHP 1,200,000 - 2,000,000; Full time

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.