All applications will be processed and reviewed as long as the job posting is active.

Line Manager: D&A Data Platform Delivery Team Manager

Role Location: Taguig, Metro Manila

AI PLATFORM ENGINEER MANAGER

Lead the design and evolution of JTI's enterprise AI platform, enabling scalable, secure, and high-performing GenAI solutions across global markets at JTI GBS Manila! This role combines deep technical expertise with strategic leadership to drive LLMOps, AI governance, and platform innovation. You will work at the forefront of Azure AI technologies, shaping how data scientists and developers access and operationalize AI at scale.

What You'll Do:

AI Platform Governance & LLMOps: Define engineering standards for secure AI consumption, RAG pipelines, and agentic frameworks while optimizing inference performance, cost efficiency, and model reliability
AI Infrastructure & Architecture: Design scalable and secure AI infrastructure leveraging Azure OpenAI, API Management, AI Search, and Databricks aligned with enterprise architecture and security standards
CI/CD & Automation: Build and maintain automated pipelines for infrastructure, model configurations, and deployment processes using IaC (Terraform/Bicep) and scripting
Observability & Monitoring: Implement advanced monitoring for token usage, latency, error rates, and cost metrics to ensure platform performance and stability
Incident Management & Operations: Lead troubleshooting of critical platform issues and manage AI quotas, scaling strategies, and system reliability
Innovation & Platform Evolution: Drive PoCs, evaluate emerging AI technologies, and continuously improve platform capabilities and engineering efficiency
Data Integration & RAG Engineering: Architect pipelines for data ingestion, embedding strategies, and vector search optimization to support high-quality AI outputs
Stakeholder Collaboration: Partner with data engineers, security architects, and vendors to onboard consumers and deliver robust AI solutions

What We're Looking For:

5+ years of experience as Data Engineer, technical lead experience is highly preferred
At least 2-3 years experience with AI platforms is required
Hands-on experience in Azure infrastructure for data services in enterprise environments
Strong hands-on experience with IaC (Terraform or Bicep) and CI/CD pipelines
Proven experience working with Azure OpenAI, AI Search, AI Foundry, and RAG architectures
Deep understanding of LLMs, inference optimization, agentic frameworks, and vector search strategies
Experience with Azure Data Lakes, Databricks, and Data Factory
Strong knowledge of cloud-native architecture, networking (VNETs, Private Links), and API management
Proficiency in scripting (Python, PowerShell, or Bash)
Experience leading technical discussions with vendors and cross-functional teams
Strong communication, leadership, and stakeholder management skills

What to Expect: At JTI GBS, we prioritize your well‑being with comprehensive wellness initiatives, hybrid and flexible work setups, and benefits like daily meals and shuttle services. As part of our global business services hub, you'll gain access to world‑class development programs and opportunities to collaborate, grow, and progress across JTI's international markets.

AI Platform Engineer Manager