AI Implementation Lead for Operations & Automation

Qualfon Philippines, Inc.

Cebu City

On-site

PHP 1,800,000 - 3,000,000

Full time

6 days ago

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Job summary

Qualfon Philippines, Inc. is seeking an experienced AI Solutions Lead to drive the design, deployment, and continuous optimization of AI-powered solutions across Operations and Back Office functions for a major telecommunications client.

This is a hands-on, execution-focused role at the intersection of Operations, Technology, and Business to embed AI into day-to-day workflows. You will identify high-impact use cases, deploy practical AI solutions using Gemini and related technologies, lead

Qualifications

5+ years in AI/ML, Data Science, Automation, or Digital Transformation.
Hands-on experience with large language models (Gemini, GPT, or similar).
Proven experience deploying AI solutions in operational or business environments.
Strong analytical and problem-solving skills.
Experience integrating AI into workflows (not just model development).
Ability to translate technical concepts into business impact.

Responsibilities

Identify and prioritize AI use cases across operations.
Design and implement end-to-end AI solutions leveraging Gemini and approved platforms.
Lead deployment from pilot to full-scale production.
Ensure alignment with enterprise security, compliance, and data governance standards.
Analyze workflows to identify automation and AI augmentation opportunities.
Continuously refine deployed solutions based on performance data and feedback.
Drive measurable improvements in productivity, quality, turnaround time, and cost efficiency.
Maintain a pipeline of AI initiatives aligned to business priorities.
Use data to uncover trends, inefficiencies, and optimization opportunities.
Define success metrics and track ROI of AI initiatives.
Develop dashboards and reporting to monitor performance and adoption.
Partner with Operations leaders and stakeholders to align on priorities.
Translate business needs into scalable AI solutions.
Train and support teams in adopting AI tools effectively.
Serve as the site-level SME for AI capabilities.
Ensure all AI deployments follow internal and client approval processes.
Maintain documentation (model cards, risk assessments, use case documentation).
Monitor risks, bias, and compliance adherence in AI usage.
AI roadmap with prioritized use cases, timelines, and expected impact.
Successful deployment of initial pilots within 60-90 days.
Scaled AI solutions integrated into operational workflows.
Measurable improvements across key KPIs (productivity, quality, cost, CX).
Ongoing pipeline of continuous improvement initiatives.
Performance dashboards tracking AI impact and adoption.
Complete documentation and compliance artifacts.