AI Implementation Specialist

MedVirtual; Philippines; Sur place; PHP 1 200 000 - 2 000 000; Plein temps

Résumé du poste

MedVirtual seeks an AI Implementation Specialist to identify and seize high-impact AI opportunities across its sites. You will design and deploy practical AI solutions to boost accuracy, efficiency, and decision quality.

You will modernize processes across manufacturing, supply chain, finance, sales, and admin; build reusable AI tools; and lead training to expand AI capability while ensuring responsible and ethical deployment.

Qualifications

• Experience delivering AI or digital transformation in manufacturing, FMCG, or logistics.
• Hands-on with AI tools (LLMs, computer vision, automation platforms).
• Strong data and API/integration understanding.
• Able to translate business problems into AI solutions.
• Excellent communication across multiple sites.

Responsabilités

• Identify high-value AI opportunities across sites.
• Design and deploy AI solutions to improve accuracy and efficiency.
• Modernize processes in multiple functions (manufacturing, SCM, finance, sales, admin).
• Build reusable AI tools and prompt assets.
• Lead training and change-adoption programs for AI capability.
• Ensure responsible, ethical deployments of AI solutions.
• Track KPIs, ROI, and operational metrics.
• Collaborate with stakeholders to implement AI at scale.
• Maintain awareness of data privacy and security in AI implementations.

Connaissances

AI/ML

Automation

Data integration

Change management

Training & coaching

Cross-site deployment

Communication

Outils

Power BI

Tableau

Google Data Studio

Zapier

Make

OCR tools

Description du poste

As an AI Implementation Specialist, you will identify high-value AI and automation opportunities across the group's sites. Your role will involve designing and deploying practical AI solutions that enhance accuracy, efficiency, and decision quality. You will modernize processes across various functions, build a library of reusable AI tools, and lead training programs to build AI capability. Ensuring responsible and ethical deployment of AI solutions will be a key aspect of your responsibilities.

Responsibilities

• Identify high-value AI and automation opportunities across the group's sites.
• Design and deploy practical AI solutions that improve accuracy, efficiency, and decision quality.
• Modernize processes across manufacturing, supply chain, finance, sales, and admin functions.
• Build a library of reusable AI tools, frameworks, and prompt assets.
• Improve underlying data quality and prepare the business for cloud-based analytics.
• Lead training and change-adoption programs to build AI capability across all sites.
• Ensure every deployment is responsible, ethical, and compliant.
• Track impact through defined KPIs, ROI figures, and operational improvement metrics.
• Experience delivering AI or digital transformation in manufacturing, FMCG, logistics, or a similar operational environment.
• Hands‑on fluency with AI tools — ChatGPT, Copilot, computer vision, predictive modeling, automation platforms.
• Solid understanding of data structures, APIs, integrations, and enterprise systems.
• Ability to translate business problems into workable AI solutions.
• Strong communicator, able to explain complex technical ideas in plain terms.
• Proven track record of delivering measurable improvement through automation or AI.
• Comfortable operating at pace across multiple sites, proactive and curious.

Preferred Qualifications

• ERP experience.
• RPA.
• Predictive analytics.
• Digital twins.
• BI tooling, or formal AI/data qualifications.
• Experience working in a law firm, legal operations, or legal tech environment.
• Hands‑on experience with AI tools such as LLMs (e.g., ChatGPT), automation platforms (Zapier, Make), OCR tools, or analytics platforms.
• Background in marketing automation, lead generation systems, or paid ads optimization.
• Experience with chatbots, call automation, or client intake systems.
• Familiarity with document automation, legal research tools, or eDiscovery platforms.
• Basic understanding of APIs, integrations, or no‑code/low‑code tools.
• Experience building dashboards (e.g., Power BI, Tableau, Google Data Studio).
• Knowledge of data privacy, compliance, and security considerations in AI implementation.
• Prior experience in a consulting, operations, or innovation‑focused role.