Enterprise AI Engineer – GenAI, MLOps & Platforms

AIA; Makati; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

AIA seeks an experienced AI Engineering Consultant to drive the design, development, deployment, and operationalization of enterprise AI solutions across the organisation. This role will contribute to GenAI, agentic AI, and AI-powered digital solutions, collaborating with stakeholders and engineering teams to deliver scalable production-grade systems.

The role requires expertise in AI platform engineering, large language models, retrieval-augmented generation, and enterprise AI governance,

Qualifications

• 5+ years of experience in AI Engineering, Machine Learning Engineering, Data Engineering, or Software Engineering.
• 3+ years 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.

Skills

AI Engineering

ML Engineering

Data Engineering

Software Engineering

Education

Bachelor’s Degree in Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, Data Science, or related disciplines

Tools

Python

Azure

Databricks

Kubernetes

Job description

AIA seeks an experienced AI Engineering Consultant to drive the design, development, deployment, and operationalization of enterprise AI solutions across the organisation. This role will contribute to GenAI, agentic AI, and AI-powered digital solutions, collaborating with stakeholders and engineering teams to deliver scalable production-grade systems.

The role requires expertise in AI platform engineering, large language models, retrieval-augmented generation, and enterprise AI governance,