Jobs at Temus

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.

The Senior DevOps Engineer will automate processes, maintain CI/CD tools, ensure compliance, and support developers in issue resolution while following Agile methodologies.

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.

The Senior PMO Analyst tracks project progress, manages KPIs, oversees risk management, and facilitates communication with stakeholders to enhance project success.

The Senior Outsystems Developer will develop web and mobile applications, apply architectural principles, conduct testing, and guide other engineers.

As a Technical Lead, you will design, develop, and maintain scalable software systems while mentoring junior developers and ensuring code quality.

The IT Support Specialist will provide technical support for user devices and cloud environments, troubleshoot issues, and ensure optimal performance of IT systems.

Lead end-to-end delivery of front-office initiatives (OMS/EMS implementations, trading platform enhancements, workflow optimization). Act as primary liaison between traders/portfolio managers and technology teams to gather requirements, define solutions, manage scope/timelines and drive user adoption, testing, training, and continuous improvement.

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

The Director of AI is responsible for solving complex AI challenges, exceeding client expectations, leading AI teams, and fostering ethical AI practices. They will create thought leadership and manage AI solutions from conception to commercialization while building client relationships and partnerships.

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.

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.

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.

This role involves developing AI literacy and capabilities in the education sector, designing enablement programs, and maintaining learning resources. Responsibilities include supporting adoption efforts, managing partnerships, and tracking program effectiveness.