# Lead AIOps Architect at Thoughtworks

> Hybrid · Singapore · Staff · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Athoughtworks%3A8203546 (read 2026-11-04).

## Facts (observed)

- Company: [Thoughtworks](https://alderhq.app/companies/thoughtworks)
- Location text: Singapore, Singapore; Singapore
- Where it can be done from (inferred): Hybrid · Singapore (evidence: "Location: Singapore, Singapore; Singapore")
- Posted: 2026-09-24 (41 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-03
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://www.thoughtworks.com/careers/jobs/8203546?gh_jid=8203546
- Skills listed (inferred): Python, AWS, GCP, Azure, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Singapore, n 4): p25 SGD 39k, median SGD 71k, p75 SGD 115k
- Recognised sponsor (NL): registered as "Thoughtworks Netherlands B.V." (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))
- Licensed UK sponsor: registered as "ThoughtWorks Ltd" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

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).
- 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.
### Professional Skills

- Ability to articulate complex technical concepts to non-technical audiences and influence senior decision-makers.
- Proven ability to inspire, mentor and develop high-performing engineering teams, fostering a collaborative and inclusive environment.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Athoughtworks%3A8203546 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.