Generative AI Platform Lead | Hybrid Role

AIA Philippines; Makati; Hybrid; PHP 2,000,000 - 2,400,000; Full time

Job summary

AIA Philippines seeks an experienced AI Engineering Consultant to drive the design, development, deployment, and operationalization of enterprise AI solutions across the organization.

The role collaborates with business stakeholders, architects, and engineering teams to translate GenAI concepts into scalable production-grade systems, including LLMs, RAG, and AI-powered digital solutions.

The position emphasizes AI platform engineering, MLOps, and governance, with a hybrid work setup (60% onsite).

Qualifications

• 5+ years of experience in AI Engineering, ML 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.

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.

Skills

GenAI

MLOps

AI platform

Cloud-native

Education

Bachelor's Degree in Computer Science / AI / Software Engineering / Data Science

Tools

Python

Azure

Databricks

Kubernetes

Job description

AIA Philippines seeks an experienced AI Engineering Consultant to drive the design, development, deployment, and operationalization of enterprise AI solutions across the organization.

The role collaborates with business stakeholders, architects, and engineering teams to translate GenAI concepts into scalable production-grade systems, including LLMs, RAG, and AI-powered digital solutions.

The position emphasizes AI platform engineering, MLOps, and governance, with a hybrid work setup (60% onsite).