AI Engineering
Globe Telecom, Inc. (Globe) Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Globe Telecom, Inc. (Globe). 9F The Globe Tower · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and expand reusable data products for recurring needs across different portfolios
- Use AI-assisted methods to write code, test it, document it and automate workflows
- Run production ETL, covering data intake, cleanup, scheduling and monitoring
- Help validate IFRS 9 ECL credit risk models and trace their data lineage
- Turn Finance requests into technical solutions and practical recommendations
What you bring
- Production-level Python and SQL skills, including modular design, tests and error handling
- Hands-on software engineering practices such as version control, peer review and CI/CD
- Production-scale ETL and orchestration experience, plus depth in one cloud data platform
- Evidence of using AI assistance in delivery, beyond simply knowing the tools
Who this fits
This mid-level role suits someone who builds reusable data products and works across engineering and Finance needs. Databricks is preferred; credit risk, regulated-sector delivery, platform administration and responsible AI experience are additional advantages.
From the employer
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
Build and maintain Finance application, analytics, and automation use-cases by applying AI-augmented development as part of standard deliveryRESPONSIBILITIES
- Build and scale reusable data products that serve repeat demand across portfolios
- Apply AI-assisted development to code, testing, documentation, and workflow automation
- Design and operate production ETL -- ingestion, cleansing, rationalization, scheduling, monitoring
- Support credit risk model work, particularly IFRS 9 ECL validation and data lineage
- Translate business needs from Finance into technical solutions and actionable recommendations
ESSENTIAL SKILLS
- Python and SQL at production grade -- modular code, testing, error handling
- Software engineering fundamentals -- version control, code review, CI/CD
- ETL and orchestration experience at production scale
- Demonstrated AI-assisted delivery -- not just tool familiarity
- Depth in one cloud data platform; Databricks preferred
- Product mindset -- builds for the next user, not just the requester; documentation and handover as default
STRONG ADVANTAGE
- Credit risk domain -- portfolio behaviour, collections, provisioning, IFRS 9 ECL
- Telco or regulated financial services delivery
- Platform administration across AWS, GCP, or Databricks
- Responsible AI practice -- data classification, redaction boundaries, model governance
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.