Lead AIOps Architect

Due to the nature of the projects and specific client security clearance, this role requires the successful candidate to be a Singapore Citizen.

As a Lead AIOps Architect at Thoughtworks, you will be a hands‑on technical leader driving engineering excellence and connecting our global AIOps capabilities with our regional client projects across APAC. As a seasoned AIOps practitioner, you will spend the vast majority of your time embedded in client project teams, designing production‑grade solutions, writing high‑quality code, and building automation pipelines on focused engagements. The rest of your time will focus on targeted technical pre‑sales support, mentoring engineering teams, and advancing our internal AIOps practices. This is a high‑visibility, technical individual contributor (IC) role. You will lead through technical influence, hands‑on engineering, and architectural guidance across global and local teams, bringing global accelerators and reference architectures to local accounts while feeding project‑level insights back to the global practice.

Engineering & SRE Foundation: Strong software engineering and SRE/DevOps foundation, with hands‑on experience building and maintaining large‑scale production systems.

Hands‑On AIOps Capability: Deep experience architecting and implementing AIOps solutions, with proficiency in writing clean, production‑quality code (such as Python) for integrations and automation.

GenAI Implementation Experience: Practical experience applying generative AI patterns (such as RAG, agentic workflows, LLMOps) in operations scenarios, with a clear understanding of when AI is and is not appropriate.

Modern Tooling Ecosystem: Familiarity with leading observability and ITSM platforms (e.g., Datadog, Splunk, ServiceNow, or equivalent) and major cloud platforms (AWS, Azure, or GCP).

Modern Engineering Practices: Proficiency with modern engineering tools including CI/CD, infrastructure as code (IaC), and automated testing.

Technical Communication & Mentorship: Strong ability to communicate complex technical concepts clearly and influence architectural decisions across distributed engineering teams.

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