Gen AI Engineer (Azure AI services experience) _ hybrid work mode

Avensys Consulting; Philippines; Hybrid; PHP 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary

Career progression

Job summary

Avensys Consulting in the Philippines is seeking an AI Engineer with 4+ years of AI/ML experience to design, build, and operationalize AI solutions for enterprise platforms. Hybrid work model (2 days in office) in Makati.

You will work with Azure DevOps, Databricks, and large language models, delivering production-ready AI services and integrating AI outputs into data products and dashboards.

Qualifications

• 4+ years of AI engineering experience.
• Experience with AI/ML development lifecycle.
• Familiarity with AI integration in enterprise data platforms.

Responsibilities

• Design, build, and deploy AI/ML solutions integrated with data pipelines.
• Develop and operationalize ML models and AI services.
• Design Generative AI solutions using LLMs and RAG architectures.
• Collaborate with data engineers to embed AI in data platforms.

Skills

AI Engineer experience

Python

SQL

Generative AI

LLMs

Data pipelines

Tools

Azure DevOps

Git

Databricks

Fabric

Job description

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking for an AI Engineer who has proven track record in IT Industry. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Job Type: Perm

Job Mode: Hybrid, 2 days work from office/ week is a MUST

Location: Makati

Overview of Work:

• Design, build, and deploy AI/ML solutions that integrate with enterprise data products, pipelines, and lakehouse architectures.
• Develop and operationalize machine learning models and AI services for use cases such as predictive analytics, anomaly detection, and automation.
• Design and implement Generative AI solutions using LLMs, including RAG architecture and prompt engineering.
• Collaborate with data engineers to embed AI capabilities into data pipelines and ensure seamless integration with data platforms (e.g., Fabric, Databricks).
• Partner with product owners, architects, and stakeholders to translate business needs into AI-driven solutions and reusable components.
• Enable AI readiness across DL&I data products by standardizing model integration, feature engineering, and inference patterns.
• Ensure AI solutions are production-ready by implementing monitoring, logging, and performance optimization practices.
• Support integration of AI outputs into data products, dashboards, and business processes, ensuring interpretability and usability.

Technical Skills: min of 4 years of experience working as an AI Engineer

AI & Machine Learning Engineering

• Machine learning model development and lifecycle management
• Feature engineering, model training, evaluation, and deployment
• Familiarity with supervised and unsupervised learning techniques
• Experience with model serving and inference pipelines
• Microsoft Fabric AI capabilities (Copilot, AutoML, intelligent insights)
• Understanding of Lakehouse architecture and AI integration patterns
• Strong Python and/or SQL for data processing and model integration
• Experience with data pipelines and orchestration tools
• Knowledge of data transformation and feature pipelines
• Integration of AI outputs into downstream analytics systems

MLOps & Deployment

• CI/CD pipelines for machine learning models
• Model versioning, monitoring, and retraining strategies
• Logging, observability, and performance tuning of AI solutions

Delivery & Tooling

• Azure DevOps (ADO) for backlog and work tracking
• Git-based source control for code and model artifacts
• Experience with collaborative development workflows

Domain Knowledge:

• Understanding of enterprise data platforms and lakehouse architectures
• Familiarity with IT operational data and enterprise analytics use cases
• Experience with ServiceNow, its architecture, and data
• Awareness of data governance, data quality, and compliance considerations
• Experience with integrating AI solutions into enterprise workflows and systems
• Understanding of Responsible AI principles including fairness, transparency, bias mitigation, and auditability
• Exposure to enterprise-scale data environments and performance considerations

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.