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Lead AIOps ArchitectThoughtworks · Singapore, Singapore
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Thoughtworks

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Lead AIOps Architect

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🗓️ Posted 2026-10-14 Singapore, Singapore Hybrid General
💰 Salary Not shared 📊 Market NA

About the Company

Global tech consultancy blending design, engineering and AI to help businesses thrive through innovation. We are a global technology consultancy that delivers extraordinary impact by blending design, engineering and AI expertise. For 30 years, our commitment to design-led thinking, engineering excellence and innovation means we prioritize people, build teams with strong technical foundations and embed AI into every step of the process - not just as a tool but as a mindset. It's this approach that sets us apart, sparks bold ideas and empowers us to drive real, lasting innovation. We're not preparing for the future - we're defining it. Information Technology & Services Specialties: Agile Development (Scrum, XP, Lean), Retail Customer Experience Consulting, Management Consulting, Data Science and Analytics, Product Innovation, Open Source Communities, Continuous Delivery, User Experience Design, Agile Development Tools, Mobile Strategy, AI, Data and Analytics, Cloud, Platforms, Customer Experience and Products, Software Defined Vehicles, Software Engineering

Responsibilities

  • ● 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.
  • ● Job responsibilities
  • ● Architecture Design: Own the technical solution architecture for AIOps engagements, designing pragmatic, production-ready solutions that balance technical constraints, cost-efficiency, performance, and security.
  • ● Hands-On Building: Deeply engage in building and implementing AIOps solutions, PoCs, and accelerators (across observability, intelligent alerting, AI-assisted triage, RCA, knowledge retrieval, and runbook automation) by writing production-quality code.
  • ● Data & Workflow Engineering: Design and build data pipelines, tool integrations, and agentic workflows connecting observability, ITSM, and collaboration platforms into cohesive, automated flows.
  • ● Engineering Excellence: Champion Thoughtworks engineering best practices, including clean code, TDD, CD, IaC, and strong observability within project teams.
  • ● AI Evaluation & Governance: Design and operate evaluation/testing pipelines for AI/LLM components, establishing baselines/guardrails for accuracy, latency, cost, and reliability.
  • ● Technical Advisory: Act as an AIOps advisor to client teams, assessing operational maturity, translating pain points into concrete use cases, and defining measurable outcomes (e.g., MTTR/MTTD reduction).
  • ● Provide deep technical domain expertise to sales and account teams to qualify opportunities and assess technical feasibility.
  • ● Support technical scoping, estimations, and high-level solution design for proposals, Statements of Work (SoWs), and discovery workshops.
  • ● Clearly articulate architectural choices, technical trade-offs, and integration strategies to technical stakeholders and engineering leads.
  • ● Act as the technical bridge between global DAMO AIOps teams and regional projects, ensuring global accelerators and tools are applied and contextualized locally.
  • ● Job qualifications
  • ● Technical Skills
  • ● 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).