Enterprise Solution Architect (AI Engineering)

About the role

Changi Airport Group's Digital Technology team is looking for an Enterprise Solution Architect (AI Engineering) to lead its AI engineering capability. You will drive the strategy, architecture, delivery and operations of AI-powered products, platforms and digital services across commercial and airport operations, and build and lead a team of in-house and offshore resources in an agile, cross-functional group.

Key responsibilities

• Partner with Product Owners, UX designers, business stakeholders and engineers to turn business challenges into scalable AI-powered products and services.
• Define architecture principles, engineering standards and reusable capabilities, and guide build-versus-buy decisions across AI platforms, SaaS and custom solutions.
• Oversee the architecture of AI solutions integrating LLMs, AI agents, SaaS, AWS cloud services, data sources and knowledge bases, and plan delivery with realistic effort and timeline estimates.
• Lead a team of full-stack developers and project managers, including offshore resources, to design, build, operate and improve AI-powered digital applications.
• Ensure production readiness through guardrails, fallback mechanisms, human-in-the-loop workflows, testing, release controls and operational support.
• Set up observability, monitoring and incident management, and manage the lifecycle of models, prompts, retrieval pipelines, agents and related components.
• Provide hands-on technical leadership on complex, high-risk issues, and recruit, lead and mentor engineers and project managers.
• Champion responsible use of AI-assisted development tools, manage the annual workplan, budgets, capacity and vendor performance, and track business value and adoption.

Required profile

• 10+ years in software engineering, solution architecture, platform engineering or related roles, including at least 5 years leading engineering teams and delivering complex, business-critical products.
• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science or a related field, or equivalent practical experience; a postgraduate qualification is an advantage.
• Proven ability to recruit, lead and develop multidisciplinary teams, and strong communication skills to explain technical trade-offs to senior leaders.
• Preferred: experience in aviation, transport, customer loyalty or other operationally complex environments.

Required skills

• Strong foundation in modern software engineering and distributed systems, with hands-on Python and working knowledge of JavaScript or TypeScript, APIs, event-driven architectures, relational and NoSQL databases and web applications.
• Substantial experience designing and operating secure, scalable solutions on AWS; experience with Bedrock, AgentCore, Lambda, API Gateway, ECS/EKS, S3, RDS, DynamoDB, Cognito, SNS, SQS, CloudWatch and IAM is desirable.
• Demonstrated experience delivering production-grade generative AI solutions with LLMs, RAG, embeddings, vector search, tool/function calling and agentic workflows.
• Understanding of prompt, model, retrieval and agent lifecycle management, including versioning, evaluation, guardrails and red-teaming.
• Infrastructure as code (AWS CDK or Terraform), CI/CD, automated testing, release management, secrets management and DevSecOps.
• Observability, service-level objectives, incident management, capacity planning and cost optimisation.