AI Engineering Consultant
At a glance
Mid-level AI Engineering role at AIA. Makati · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch enterprise AI and generative AI systems aimed at difficult business problems
- Create reusable AI services, APIs, SDKs and accelerators so business units can adopt AI faster
- Test and compare models, prompts and agent workflows, then tune them for better results
- Connect AI agents with company applications, APIs, databases and business processes
- Develop AI platforms and MLOps frameworks, and help set engineering and governance standards
What you bring
- A bachelor's degree in computer science, AI, software engineering or another listed discipline
- At least five years in AI, machine learning, data or software engineering
- Three or more years putting AI or machine learning solutions into production
- Enterprise delivery experience with GenAI, MLOps or AI platforms, plus Python, Azure, Databricks or Kubernetes
Who this fits
This mid-level role suits an engineer who can take AI concepts into production and work with business stakeholders, architects and engineering teams. The position is based in Makati, Philippines.
From the employer
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. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
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.
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.