AI Lead Architect

14F The Globe Tower, Philippines

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At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

Leads the design, development, and implementation of cutting-edge AI solutions. The AI Lead Architect will be responsible for shaping our AI strategy and overseeing the architecture of AI-driven applications that enhance business processes and drive innovation. This role requires a deep understanding of AI technologies, strong leadership skills, and the ability to work collaboratively with cross-functional teams.

DUTIES AND RESPONSIBILITIES:

  • AI use case identification & prioritization

  • End-to-end AI solutions, including architecture, data pipelines, and model deployment

  • Ensure scalability, reliability, and efficiency of AI solutions.

  • Ensure high-quality data collection, storage, and processing to support AI initiatives

  • Maintain comprehensive documentation of AI architectures, models, and processes.

KPIs:

Model Accuracy: Performance metrics of deployed AI models.

Innovation: Number of innovative AI solutions developed and implemented.

Stakeholder Satisfaction: Feedback from internal and external clients.

System Uptime: Reliability and availability of AI systems.

TOP 3-5 DELIVERABLES:

Comprehensive AI strategy document.

Scalable AI architecture blueprints.

High-performing AI models and algorithms.

Detailed project plans and timelines.

Comprehensive documentation and reports.

SKILLS:

Soft: 

  • Excellent communication and presentation skills.

  • Strong problem-solving and analytical abilities.

  • Leadership and team management skills.

  • Ability to work collaboratively in a cross-functional environment.

  • Strategic thinking and business acumen.

Hard: 

  • Proficiency in AI/ML frameworks (TensorFlow, PyTorch, etc.).

  • Strong programming skills (Python, R, Java, etc.).

  • Experience with big data technologies (Hadoop, Spark).

  • Knowledge of cloud platforms (AWS, Azure, Google Cloud).

  • Understanding of data preprocessing and feature engineering.

  • Experience in natural language processing, computer vision, and other AI domains.

  • Expertise in generative AI technologies, such as GANs, VAEs, and transformers.


Certification/License: Not required, real application experience is preferred

COMPETENCIES:

  • Technical Expertise: Deep knowledge of AI technologies and best practices.

  • Project Management: Ability to manage multiple projects and priorities.

  • Innovation: Drive to explore and implement new AI technologies.

  • Ethical Judgment: Commitment to ethical AI development and use.

  • Adaptability: Flexibility to adjust to changing business needs and technologies.

REQUIREMENTS:

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

  • Experience: Minimum of 7 years of experience in AI/ML development, with at least 3 years in an architectural or leadership role.

  • Certifications: Relevant AI/ML certifications are a plus.

  • Portfolio: Demonstrable portfolio of previous AI projects and solutions, particularly those involving generative AI.

Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AI strategy Architecture AWS Azure Big Data Computer Science Computer Vision Data pipelines Engineering Feature engineering GANs GCP Generative AI Google Cloud Hadoop Java KPIs Machine Learning Model deployment NLP Pipelines Python PyTorch R Spark TensorFlow Transformers

Region: Asia/Pacific
Country: Philippines

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