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Rolls-Royce

Artificial Intelligence (AI) Domain Architect

Rolls-Royce
Aircraft MRO & Aviation EngineeringTukang, SingaporeOnsitePosted 2 months ago
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About the role

AI summarised

The AI Domain Architect at Rolls-Royce Power Systems is responsible for designing and leading the enterprise-wide AI architecture, driving adoption of agent-based AI systems, ensuring scalability and compliance, and providing technical leadership across engineering teams. This role spans the full AI lifecycle from strategy to implementation, with a focus on innovation, standards, and alignment with business goals in a multinational, matrixed environment.

AerospaceOnsiteDigital

Key Responsibilities

  • Ownership of Artificial Intelligence Architecture
  • Adoption of Agent-Based Artificial Intelligence
  • Design and Maintenance of Scalable Artificial Intelligence Architectures
  • Collaboration with Product and Shared Services Teams
  • Participation in Agile Delivery Processes
  • Definition of Standards and Quality Frameworks
  • Technical Consulting for New Initiatives
  • Support for Information Technology Service Management

Requirements

  • Bachelor’s degree or master’s degree in computer science, Data Science, Artificial Intelligence, or another relevant discipline
  • 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
  • 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
  • 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
  • Experience and comfortable working in a matrix reporting multinational organization environment, being able to contribute effectively both to the local hiring organization and the remote domain functional leadership