AI Engineering Consultant

AIA Shared Services; Manila; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

AIA Shared Services is seeking an experienced AI Engineering Consultant to lead design, development, deployment, and operationalization of enterprise AI solutions across the organization.

You will collaborate with business stakeholders, architects, and engineering teams to turn innovative AI concepts into scalable production-grade capabilities, including GenAI and AI governance. This role emphasizes rapid, responsible AI adoption and reusable accelerators across units.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, Data Science, or related disciplines.
• 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.

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

Python

Azure

Databricks

Kubernetes

ML/Ops

Education

Bachelor's degree in CS/AI/SE/Data Science

Tools

AI platforms

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. 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.

“Better” starts with people who reimagine what is possible and turn ideas into meaningful action. At AIA, you will contribute in your own way, help shape outcomes that matter and collaborate with colleagues across disciplines, teams, markets and levels. We will support you to broaden your perspective, strengthen your capabilities and grow your impact. Together, we challenge assumptions, learn from one another and find better ways forward.

Bring your ambition, experience and ideas to AIA, and help shape what “better” looks like.

Bring your difference to AIA