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About the Role

Lead the design, build, and evolution of intelligent data and AI systems for next-generation platforms. This role operates at the intersection of data engineering, AI engineering, platform architecture, and DevOps, shaping scalable, secure, and production-grade solutions to drive operational efficiency, sustainability, and intelligent decision-making. Define technical direction, engineering standards, and platform patterns for AirTrunk’s AI and Data Platform, mentoring others and driving complex, cross-functional initiatives.

Responsibilities

Lead the design and delivery of scalable AI and ML solutions that enhance AirTrunk’s operations, from predictive maintenance and optimisation to intelligent automation and decision support.
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 using tools such as Databricks, OpenAI, Anthropic, and LangChain.
Establish reusable patterns, guardrails, and engineering standards for AI applications to ensure reliability, security, scalability, and maintainability in production.
Lead the design and optimisation of robust batch and streaming data pipelines that support analytics, operational systems, and AI workloads at scale.
Own the medallion architecture standards within Databricks Unity Catalog, bronze through semantic layers, ensuring trusted, governed, and reusable datasets.
Shape scalable data architectures across the AI & Data Platform, including lakehouse, medallion, event-driven, and real-time processing patterns where appropriate.
Drive improvements in data quality, lineage, observability, discoverability, and platform reliability through strong engineering practices and technical leadership.
Define and evolve platform architecture for data and AI workloads across Azure, Databricks, and related technologies, ensuring alignment with enterprise standards and long-term platform strategy.
Lead the implementation of end-to-end MLOps and DataOps capabilities, including CI/CD, testing, deployment, monitoring, orchestration, and lifecycle management.
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 across data pipelines, models, and AI systems.
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, balancing innovation, delivery value, and operational sustainability.
Drive the adoption of engineering disciplines that improve platform trust, transparency, and production readiness across the AI & Data estate.
Provide technical leadership across complex initiatives, influencing architecture, design decisions, delivery approaches, and engineering quality across multiple teams or domains.
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 across the team.
Actively contribute to AirTrunk’s Data & AI community of practice by sharing knowledge, shaping standards, and building capability across the broader organisation.

Requirements

10+ years’ experience in data engineering, AI/ML engineering, software engineering, or platform engineering.
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 that meet enterprise standards and support multiple business domains and use cases.
Deep experience designing, building, and evolving robust batch and streaming data pipelines, event-driven architectures, and curated data models that enable analytics, operational workloads, and AI applications at scale.
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 where appropriate.
Strong experience with Azure and Databricks preferred.
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.
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 that improve engineering consistency, delivery quality, and operational supportability across teams.
Strong understanding of data governance, privacy, security, and Responsible AI principles.
Ability to embed data governance, privacy, security, and Responsible AI principles into architecture, platform design, and engineering workflows.
Demonstrated ability to lead complex, cross-functional technical initiatives.
Ability to influence architecture, delivery, and engineering decisions across multiple teams, domains, or platforms.
Strong stakeholder engagement and communication skills.
Ability to translate strategic objectives into practical technical direction and execution.
Proven capability to mentor engineers, uplift technical capability, and drive a culture of engineering excellence, pragmatism, and continuous improvement.

Skills

AI Engineering
Machine Learning Solutions Design and Delivery
Agentic AI Systems (multi-agent patterns, RAG, MCP)
LLM and Generative AI Integration
Databricks
OpenAI
Anthropic
LangChain
Data Engineering
Batch Data Pipelines
Streaming Data Pipelines
Medallion Architecture
Databricks Unity Catalog
Lakehouse Architecture
Event-Driven Architectures
Real-time Data Processing
Data Quality Management
Data Lineage
Data Observability
Data Discoverability
Platform Architecture (Azure, Databricks)
MLOps
DataOps
CI/CD
Testing
Deployment
Monitoring
Orchestration
Lifecycle Management
Git
Terraform
Docker
Kubernetes
Responsible AI Principles
Security and Privacy Practices
Data Governance
Risk-aware Engineering
Technical Leadership
Cross-functional Collaboration
Mentoring
Python
SQL
dbt
Kafka
Azure Event Hubs
JavaScript (beneficial)
Shell Scripting (beneficial)
Software Engineering Practices (code quality, version control, automation)
Stakeholder Engagement
Communication Skills
Architectural Judgement
Problem Solving
Platform-oriented Engineering Practices
Data Product Thinking

Experience Level

10+ years’ experience
Highly experienced

About the Company

AirTrunk is a technology company focused on scaling and sustaining the relentless growth of the Asia Pacific & Middle East (APME) region’s digital future.
Redefines and delivers hyperscale data centres that meet the needs of transformational companies sustainably.
Operates a platform of hyperscale data centres across the APME region, backed by investors including Blackstone.
Fosters a culture of challengers and collaborative problem solvers.
Values dynamism, transparency, and responsiveness.
Promotes a flexible, safe, and welcoming working environment that embraces diverse perspectives.

Equal Opportunity

AirTrunk values unique backgrounds and diverse perspectives.
Provides a flexible, safe, and welcoming working environment where everyone feels welcome.