Automation and AI Solutions Consultant
Summary
Designs, builds, and deploys enterprise-scale AI and generative-AI solutions for MediCard, a Philippine HMO — including AI agent integrations, reusable AI APIs/SDKs, and MLOps platforms using Python, Azure, Databricks, and Kubernetes. Hybrid role (60% onsite) in Makati City.
Salary: ₱55,000 – ₱75,000 per month
MediCard Phils., Inc. is one of the country's leading HMO and the only HMO founded and run by Doctors. Since its inception, the concept of service-oriented total health care has been the molding ideal of MediCard. The competition is vast, and the benefits being offered by the competitors are tempting. However, MEDICard has taken the lead in providing innovative and productive ideas that cut down the cost of health maintenance without compromising its quality.
MediCard now boasts of more than half a million members and over 54,000 accredited doctors in over 1,000 hospitals and clinics nationwide. It also operates 16 MediCard free-standing clinics that provide services at par with those offered by hospitals minus the confinement.
Key Responsibilities
Design, develop, and deploy enterprise-scale AI and Generative AI solutions that solve complex business challenges.
Develop reusable AI services, APIs, SDKs, and accelerators to accelerate AI adoption across business units.
Conduct evaluations, benchmarking, and optimization of AI models, prompts, and agentic workflows
Develop integrations between AI agents and enterprise applications, APIs, databases, and business processes.
Design and implement enterprise AI engineering platforms and MLOps frameworks.
Help establish enterprise standards for AI engineering, GenAI development, and Agentic AI governance.
Minimum Qualifications
Education
Bachelor's Degree in Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, Data Science, or related disciplines.
Experience
5+ years of experience in AI Engineering, Machine Learning Engineering, Data Engineering, or Software Engineering.
3+ years of hands-on experience deploying AI/ML solutions into production environments.
Proven experience delivering GenAI, MLOps, or AI platform solutions in enterprise settings
Knowledge and experience in Python, Azure, Databricks, Kubernetes, etc.
Work Setup: Hybrid - 60% Onsite
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
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