Artificial Intelligence (AI) Domain Architect

Job Description

Location: Tukang, Singapore (West)

Only candidates with the legal right to work in Singapore will be considered. Please note that applicants without this eligibility will not be considered.

Why join Rolls-Royce?

At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere.

By joining Rolls-Royce, you'll have the opportunity to work on world-class solutions, supported by a culture that believes individuality is our greatest strength, and all perspectives, experiences and backgrounds help us innovate and enable our high-performance culture.

Position Summary

The Artificial Intelligence (AI) Domain Architect is responsible for analyzing and translating complex business needs and technical requirements into a comprehensive architectural blueprint for Artificial Intelligence solutions. This role owns the full lifecycle of the Artificial Intelligence ecosystem, including architectural design, technology selection, integration, governance, and long-term sustainability.

You will provide technical leadership, guide engineering teams, drive adoption of advanced Artificial Intelligence technologies (including agent-based Artificial Intelligence systems), and ensure that all Artificial Intelligence solutions are scalable, secure, compliant with international regulations such as the European Union Artificial Intelligence Act and aligned with Rolls-Royce Power Systems’ strategic direction.

This is a key position in shaping the organization’s future in digital and Artificial Intelligence technologies.

What you will be doing:

1. Ownership of Artificial Intelligence Architecture

• Take full ownership and provide functional leadership over critical components of the Artificial Intelligence technology stack.
• Ensure that all architectural decisions support the strategic objectives of Rolls-Royce Power Systems and enable successful delivery of Artificial Intelligence initiatives.

2. Adoption of Agent-Based Artificial Intelligence

• Drive enterprise-wide adoption of agent-based Artificial Intelligence within the software and Artificial Intelligence lifecycle.
• Ensure that all employees affected by new Artificial Intelligence technologies receive the necessary enablement and training.

3. Design and Maintenance of Scalable Artificial Intelligence Architectures

• Develop, implement, and maintain scalable Artificial Intelligence architectures that can operate across edge environments, cloud environments, and on-premises environments.
• Build robust technical frameworks to support seamless integration and communication among Artificial Intelligence products and services.

4. Technical Guidance and Leadership

• Guide internal and external developers, providing clear technical direction to resolve dependencies, manage interfaces, and remove impediments that slow down development.
• Serve as the technical advisor for product owners, providing expert input on requirements, planning, and solution design.

5. Collaboration with Product and Shared Services Teams

• Work closely with product owners, design teams, and shared services teams to ensure that all Artificial Intelligence components are aligned with business objectives and technical requirements.
• Provide architectural consulting and ensure that technical solutions are feasible, sustainable, and future-proof.

6. Participation in Agile Delivery Processes

• Actively participate in agile development processes and help foster a self-organising and high-performing team culture.
• Promote engineering excellence and disciplined delivery practices.

7. Technology Exploration and Innovation

• Continuously scout emerging technologies, methodologies, and trends in Artificial Intelligence, data engineering, and software engineering.
• Identify synergies across projects and introduce innovations that enhance product quality, efficiency, or performance.

8. Definition of Standards and Quality Frameworks

• Define enterprise standards, testing strategies, and interaction models for Artificial Intelligence microservices.
• Ensure that Artificial Intelligence deliverables meet high quality, security, and reliability standards.

9. Technical Consulting for New Initiatives

• Provide technical consulting and architectural assessments for new products during the pre-project or concept stage.
• Ensure strong alignment between technical feasibility and business objectives before project initiation.

10. Support for Information Technology Service Management

• Support Information Technology service management activities to ensure that all Artificial Intelligence services are delivered effectively, reliably, and in accordance with enterprise service requirements.

Position requirements:

Education

• Bachelor’s degree or master’s degree in computer science, Data Science, Artificial Intelligence, or another relevant discipline.

Professional Experience

• More than five years of experience implementing complex Artificial Intelligence microservice frameworks and enterprise-level Artificial Intelligence systems.
• Proven experience designing, integrating, and delivering scalable Artificial Intelligence solutions within modern software environments.

Technical Expertise

• Deep understanding of Artificial Intelligence design patterns, Machine Learning methodologies, statistical modelling, and Generative Artificial Intelligence techniques.
• Hands-on experience in applying agent-based frameworks and developing both single-agent and multi-agent Artificial Intelligence systems.
• Strong data processing knowledge for Artificial Intelligence microservices, enabling efficient and reliable data flow across systems.
• Experience with modern software development practices and microservice-based architecture.
• Strong expertise in:
  • Apache Spark using the Python programming language
  • Apache Kafka
  • Hadoop ecosystems
  • Big data storage formats and distributed data processing
• Demonstrated ability to deliver robust data processing pipelines suitable for large-scale Artificial Intelligence workloads.

Behavioral Capabilities

• Curious, independent, and proactive mindset with a passion for exploring new technological and methodological approaches.
• Strong interest in understanding customer business needs and operational processes to design meaningful Artificial Intelligence solutions.
• Excellent communication and interpersonal skills, with the ability to lead cross-functional teams and collaborate effectively with stakeholders at all levels.

About mtu Power Systems

Power Systems is the Rolls-Royce business which provides world-class power solutions and complete life-cycle support under our product and solution brand mtu . Through digitalization and electrification, we strive to develop drive and power generation solutions that provide answers to the challenges posed by the rapidly growing societal demands for energy and mobility.

We deliver and service comprehensive, powerful and reliable systems, based on both gas and diesel engines, as well as electrified hybrid systems. These technologically advanced solutions serve our customers in the marine and infrastructure sectors worldwide.

Our vision is to ensure that the excellence and ingenuity that shaped our history continues into our future. Our multi-year transformation programme aims to turn Rolls-Royce into a high-performing, competitive, resilient and growing company. Join us, and it can be your future vision too.

Rolls-Royce is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics.

Relocation assistance is not available for this position.

As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided.

Job Category

Digital