Jobs at Temus

The Software Quality Engineer develops and maintains automated testing frameworks, integrates tests into CI/CD pipelines, and executes functional, regression, exploratory, integration, UAT, performance, and security testing. The role defines risk-based test strategies, manages defects and test repositories, improves agile testing practices, and collaborates with product, business, engineering, and system stakeholders to ensure reliable software delivery.

Lead the design and delivery of enterprise-scale data platforms and pipelines, using modern data platforms, processing frameworks, streaming technologies, and cloud services. Build, lead, and mentor a data engineering team; support client relationships, proposals, migrations, governance, security, and compliance. Contribute technical thought leadership through blogs and community engagement while delivering solutions from proof of concept through commercialization.

Supports the Head of Corporate Affairs with executive meeting coordination, briefs, action tracking, growth and partnership research, account and partner materials, and AI thought-leadership content. Produces intelligence digests, presentations, proposals, executive narratives, and client-facing communications while maintaining trackers and editorial calendars. Requires strong research, writing, organization, presentation, commercial judgment, discretion, and interest in enterprise AI.

Designs, builds, automates, and operates secure, scalable cloud platforms across AWS, Azure, and/or GCP. Responsibilities include Kubernetes and Docker containerization, Terraform and Ansible automation, CI/CD pipeline development, cloud networking and security, observability, troubleshooting, reliability improvement, and cost optimization. The engineer collaborates with architects, developers, QA, security teams, and clients while promoting reusable infrastructure, engineering standards, and continuous improvement.

Design intuitive digital products and enterprise solutions through UX/UI design, client workshops, workflow mapping, prototyping, and production-ready interfaces. Build browser-based prototypes with HTML and CSS, apply design systems and reusable components, consider technical constraints and accessibility, and collaborate with developers, analysts, project managers, and clients. The role also explores AI-assisted research, ideation, prototyping, documentation, and design delivery.

Drive end-to-end digital transformation by framing problems, designing AI-enabled solutions, prototyping, delivering via agile teams, and driving adoption and change through stakeholder engagement, training, and governance.

Lead multiple small teams to deliver end-to-end Newgen-based solutions. Design, implement, integrate, and maintain enterprise software; perform code reviews, POCs, testing, client coordination, risk analysis, and documentation to ensure compliant, high-performance deployments.

Temus is hosting a Consulting Info Day to showcase its consulting practice in digital transformation. Attendees will hear from consultants about roles and opportunities, and receive registration details by email. Event is on 17 Sep 2025 at Temus Office, Singapore.

Lead AI Engineer will design and deploy advanced AI and agentic LLM systems, lead and mentor an AI/data engineering team, build MLOps pipelines and cloud deployments, produce client proposals and technical thought leadership, and drive model lifecycle, evaluation, and responsible-AI practices.

The Director of Data will lead a team of data engineers, manage the P&L of the Data practice, and ensure effective collaboration across teams to drive data solutions.

Design, build, and operationalise large-scale cloud data pipelines (batch and streaming) using Databricks/Snowflake and cloud platforms to support reporting, automated systems and AI/ML teams. Administer cloud data platforms, optimise SQL/storage, implement CI/CD, IaC, containerisation and serverless solutions, and collaborate with clients, partners and internal teams to scale data engineering deployments.

Plans, leads, and documents software projects across the SDLC, translating business needs into requirements and user stories. Manages project execution, testing, stakeholders, vendors, timelines, quality, and costs. Evaluates solutions, addresses client concerns, and coaches junior team members while ensuring project requirements are met.

Design, build, deploy and govern AI solutions (LLMs, agentic systems, MLOps). Collaborate with clients and partners, deliver end-to-end AI projects, and continuously upskill in AI engineering and deployment best practices.

Support consulting teams by conducting primary and secondary research, analyzing data, synthesizing findings, producing clear written outputs and presentations, communicating with stakeholders, and contributing to project delivery in a team environment.

As a Senior AI Engineer, you will utilize AI engineering and delivery expertise to drive transformative projects for clients while building relationships and expanding your knowledge.

The AI Engineer will solve complex problems using AI engineering expertise, maintain client relationships, and continuously improve skills in AI and data.

The Lead AI Engineer will solve complex AI challenges, mentor a team, and develop client relationships while delivering technical thought leadership.

The role involves analyzing client needs for Epic systems, overseeing implementation, optimizing health IT solutions, and managing stakeholder relationships.

Support onboarding assets to an AI-driven valuation platform, ensure data integrity and methodological accuracy, validate and review outputs, test features and provide feedback, advocate for valuation users, drive platform adoption, and translate valuation requirements to technical and product teams.

Partner with clients to design, build, and deploy production-grade, cloud-native applications that integrate AI and data. Rapidly prototype, iterate, and productionise solutions, collaborate with product and AI teams, and act as a trusted technical advisor while delivering end-to-end solutions.