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About the Role

Lead the design, build, and evolution of intelligent data and AI systems for next-generation platforms. Operate at the intersection of data engineering, AI engineering, platform architecture, and DevOps, shaping scalable, secure, and production-grade solutions. Define technical direction, engineering standards, and platform patterns for AirTrunk’s AI and Data Platform, while mentoring others and driving delivery across complex, cross-functional initiatives.

Responsibilities

Lead the design and delivery of scalable AI and ML solutions that enhance AirTrunk’s operations.
Architect and guide the development of agentic AI systems, including multi-agent patterns, retrieval-augmented generation (RAG), and Model Context Protocol (MCP) implementations.
Drive the integration of LLM and generative AI technologies into enterprise platforms, workflows, and data products.
Establish reusable patterns, guardrails, and engineering standards for AI applications.
Lead the design and optimisation of robust batch and streaming data pipelines.
Own the medallion architecture standards within Databricks Unity Catalog.
Shape scalable data architectures across the AI & Data Platform.
Drive improvements in data quality, lineage, observability, discoverability, and platform reliability.
Define and evolve platform architecture for data and AI workloads across Azure, Databricks, and related technologies.
Lead the implementation of end-to-end MLOps and DataOps capabilities.
Standardise tooling, infrastructure patterns, and automation approaches using Git, Terraform, Docker, Kubernetes, and related platform services.
Ensure robust observability, validation, resilience, and operational support models are in place.
Embed Responsible AI, security, privacy, and data governance practices into the design and operation of data and AI solutions.
Partner with technology and business stakeholders to implement risk-aware engineering controls, compliance requirements, and trustworthy platform practices.
Evaluate emerging technologies and architectural approaches with a pragmatic lens.
Drive the adoption of engineering disciplines that improve platform trust, transparency, and production readiness.
Provide technical leadership across complex initiatives, influencing architecture, design decisions, delivery approaches, and engineering quality.
Collaborate closely with AI, Data, Platform, Product, and business stakeholders to translate strategic priorities into scalable technical solutions.
Mentor senior and junior engineers, raising the bar for engineering excellence, reusable design, and operational maturity.
Actively contribute to AirTrunk’s Data & AI community of practice by sharing knowledge, shaping standards, and building capability.

Requirements

10+ years’ experience in data engineering, AI/ML engineering, software engineering, or platform engineering, with a strong track record of delivering production-grade data and AI solutions in complex enterprise cloud environments.
Demonstrated ability to architect and lead scalable, high-performance, secure, and resilient data and AI platforms.
Deep experience designing, building, and evolving robust batch and streaming data pipelines, event-driven architectures, and curated data models.
Strong hands-on expertise in modern data architecture patterns, including lakehouse and medallion architectures, real-time data processing, data product thinking, and platform-oriented engineering practices.
Proven experience designing and deploying AI/ML solutions in production, including LLM-based applications, intelligent automation, retrieval-augmented generation (RAG), and agentic AI patterns.
Strong experience with Azure and Databricks preferred, alongside proficiency with modern data and integration technologies such as dbt, Kafka, Azure Event Hubs, orchestration frameworks, and associated cloud-native services.
Advanced programming capability in Python and SQL, with practical experience in software engineering disciplines such as testing, code quality, version control, and automation.
Experience with JavaScript or Shell is beneficial.
Deep understanding of MLOps and DataOps practices, including CI/CD, model and pipeline lifecycle management, monitoring, observability, validation, containerisation (Docker/Kubernetes), and infrastructure as code (Terraform).
Experience establishing technical standards, reusable patterns, and platform guardrails.
Strong understanding of data governance, privacy, security, and Responsible AI principles.
Demonstrated ability to lead complex, cross-functional technical initiatives and influence architecture, delivery, and engineering decisions.
Strong stakeholder engagement and communication skills.
Proven capability to mentor engineers, uplift technical capability, and drive a culture of engineering excellence, pragmatism, and continuous improvement.

Skills

Data Engineering
AI Engineering
Platform Architecture
DevOps
Scalable Systems
Secure Systems
Production-grade Solutions
AI/ML Solutions
Predictive Maintenance
Optimization
Intelligent Automation
Decision Support
Agentic AI Systems
Multi-agent Patterns
Retrieval-Augmented Generation (RAG)
Model Context Protocol (MCP)
LLM Integration
Generative AI
Databricks
OpenAI
Anthropic
LangChain
Batch Data Pipelines
Streaming Data Pipelines
Analytics
Operational Systems
AI Workloads
Medallion Architecture
Databricks Unity Catalog
Lakehouse Architecture
Event-Driven Architectures
Real-time Processing
Data Quality
Data Lineage
Data Observability
Data Discoverability
Platform Reliability
Azure
MLOps
DataOps
CI/CD
Testing
Deployment
Monitoring
Orchestration
Lifecycle Management
Git
Terraform
Docker
Kubernetes
Responsible AI
Data Governance
Privacy
Security
Python
SQL
JavaScript
Shell
dbt
Kafka
Azure Event Hubs

Location

APME

Work Type

Full-time

Experience Level

Staff
10+ years

Benefits

Grow@Hyperscale
Flexible working environment
Safe working environment

About the Company

Asia Pacific & Middle East's (APME) largest, most innovative, and rapidly growing data centre company.
A technology company with a powerful purpose - to scale and sustain the relentless growth of the region’s digital future.
Redefining and delivering hyperscale data centres that meet the needs of customers - the world’s most transformational companies.
Operating a platform of hyperscale data centres across the APME region.
Backed by investors, including Blackstone.

Equal Opportunity

Every AirTrunker brings their own unique background and diverse perspective to find solutions to problems that matter.
We make sure you have everything you need to make your mark and thrive in a flexible and safe working environment, where everyone feels welcome.