Artificial Intelligence Engineer

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.

• Work with analytics and reporting teams to translate model outputs into business-facing insights and metrics.

• Contribute to enterprise AI governance by ensuring compliance with Responsible AI principles (fairness, transparency, accountability).

• Document AI models, features, pipelines, and assumptions to support reuse, auditability, and knowledge sharing.

• Participate in Agile delivery practices including backlog refinement, sprint planning, and continuous improvement.

Technical Skills:

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

Cloud AI & Data Platforms

• Azure AI services (Azure Machine Learning, Cognitive Services, OpenAI integration)

• Microsoft Fabric AI capabilities (Copilot, AutoML, intelligent insights)

• Databricks (MLflow, Model Registry, Delta Lake)

• Understanding of Lakehouse architecture and AI integration patterns

Data Engineering & Integration

• 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

Soft Skills:

• Strong problem-solving and analytical thinking, with a structured and detail-oriented approach

• Ability to translate complex technical concepts into business-relevant insights

• Effective communication across technical and non-technical stakeholders

• Strong collaboration skills across product, engineering, and architecture teams

• Influencing skills to promote AI adoption and data-driven practices

• Strong documentation and knowledge-sharing discipline

• Continuous learning mindset, especially in rapidly evolving AI technologies

• Comfortable working in Agile, fast-paced delivery environments

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

💼 Why Join Strategic Staffing Solutions (S3)?

✅ Full-Time Permanent Employment

✅ Competitive Salary Package

✅ Hybrid Work Setup: Ayala Makati (2 Days Onsite / 3 Days Remote)

✅ HMO Coverage: Up to 500K

✅ Leave Credits: Prorated, applicable on first day

✅ FIXED WEEKEND OFF

✅ Laptop provided

✅ PAID HOLIDAYS

✅ Government Benefits

✅ 13th Month Pay

✅ Team Building Activities