AI Engineering Lead

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

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on.

About the Role

At AIA, we are committed to helping our employees grow professionally and personally while building innovative solutions that empower our customers and communities to live Healthier, Longer, Better Lives.

We are seeking an experienced AI Engineering Consultant to drive the design, development, deployment, and operationalization of enterprise AI solutions across the organization. This role will contribute to the delivery of next-generation AI capabilities including Generative AI, Agentic AI, and AI-powered Digital Solutions.

The successful candidate will work with business stakeholders, architects, and engineering teams to transform innovative AI concepts into scalable production-grade solutions. This role requires expertise in AI platform engineering, Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), MLOps, cloud-native development, and enterprise AI governance.

The role will be instrumental in establishing AIA's AI engineering standards, reusable frameworks, and solution accelerators that enable responsible, scalable, and business-focused AI adoption across the enterprise.

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.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.