Enterprise AI Engineer — GenAI, MLOps & AI Platforms

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

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.