Gen AI Architect

Capgemini; Metro Manila; On-site; PHP 1,800,000 - 3,200,000; Full time

Job summary

Capgemini Philippines is seeking a GenAI Architect to lead the design and delivery of enterprise-scale AI/ML solutions, shaping strategy, data architecture and secure model integration across cloud environments. The role focuses on delivering measurable business impact through scalable architectures and robust governance.

You will mentor a team of GenAI data scientists and engineers, collaborate with IT, marketing and customer service, and drive digital transformation using Azure, AWS and GCP.

Qualifications

• Bachelor of Science in Computer Science or related field.
• Master of Science in Telecommunication and Information Systems (preferred).
• Chief Data, Analytics and AI Officer Programme (preferred).
• Minimum of 5 years of experience in AI/ML, with a focus on Generative AI.

Responsibilities

• Lead the design and implementation of AI/ML solutions, leveraging cloud technologies like Azure, AWS, and others.
• Develop and integrate advanced AI models, ensuring they meet business requirements and are scalable and secure.
• Manage project budgets and timelines, ensuring successful delivery of AI solutions.
• Collaborate with cross-functional teams including marketing, IT, and customer service to drive digital transformation initiatives.
• Conduct project kick-off meetings, design workshops, UAT, SIT, and weekly status update meetings.
• Prepare and maintain project documentation including design sign-off documents, technical handover documents, SIT and UAT documents, and final readout documents.
• Mentor and manage a team of GenAI data scientists and engineers.

Skills

GenAI

AI strategy

Data architecture

Model integration

Cloud platforms

Python

SQL

OpenAI tech

Education

BSc Computer Science

MS Telecommunication & Information Systems

Chief Data Analytics AI Officer Programme

Tools

Azure

AWS

GCP

Job description

We are seeking a highly skilled and experienced GenAI Architect to join our dynamic team. The ideal candidate will have a strong background in Generative AI, AI/ML strategy, data architecture, and advanced model integration. This role involves leading the design and implementation of enterprise-scale AI/ML solutions, leveraging cloud technologies, and driving innovation while ensuring security, scalability, and business impact.

Key Responsibilities:

• Lead the design and implementation of AI/ML solutions, leveraging cloud technologies like Azure, AWS, and others.
• Develop and integrate advanced AI models, ensuring they meet business requirements and are scalable and secure.
• Manage project budgets and timelines, ensuring successful delivery of AI solutions.
• Collaborate with cross-functional teams including marketing, IT, and customer service to drive digital transformation initiatives.
• Conduct project kick-off meetings, design workshops, UAT, SIT, and weekly status update meetings.
• Prepare and maintain project documentation including design sign-off documents, technical handover documents, SIT and UAT documents, and final readout documents.
• Mentor and manage a team of GenAI data scientists and engineers.

Qualifications:

• Bachelor of Science in Computer Science or related field.
• Master of Science in Telecommunication and Information Systems (preferred).
• Chief Data, Analytics and AI Officer Programme (preferred).
• Minimum of 5 years of experience in AI/ML, with a focus on Generative AI.
• At least 2 projects in GenAI
• Extensive experience in project management, particularly in the financial services and telecommunication industries.
• Proven track record of leading AI/ML projects from conception to implementation.
• Experience with cloud platforms such as Azure, AWS, and GCP.
• Proficiency in Python, SQL, and AI/ML frameworks.
• Expertise in Generative AI technologies including OpenAI, LLaMA, and LangChain.
• Strong knowledge of cloud services and AI tools such as Azure AI Services, AWS AI, and Amazon Bedrock.
• Excellent communication and interpersonal skills, with the ability to work effectively with multicultural clients and teams.
• Strong problem-solving skills and the ability to think strategically.

Preferred Experience:

• Experience working with multinational corporations and banks
• Experience in developing and deploying AI solutions for financial services, digital business automation, and advanced analytics.
• Familiarity with Agile methodologies and project management tools like Azure DevOps.