Enterprise Architect – AI

BITRALIS PTE. LTD.; Singapore; Hybrid; SGD 120,000 - 150,000; Full time

Job summary

A global tech firm in Singapore is seeking an experienced Enterprise Architect – AI to lead the architectural design and implementation of scalable AI solutions. This role requires expertise in AI systems and enterprise architecture, with a focus on collaboration with cross-functional teams in a hybrid work environment. The ideal candidate will have over 10 years of experience and a strong understanding of technologies like Microsoft Azure and big data tools.

Qualifications

• 10+ years of experience in enterprise architecture.
• Deep understanding of AI design patterns, ML algorithms, and data processing.
• Hands-on experience with big data technologies like PySpark, Kafka, and Hadoop.
• Strong expertise in Microsoft Azure, particularly Azure ML and OpenAI.
• Excellent communication skills and fluency in English.

Responsibilities

• Lead architectural design and implementation of scalable AI solutions.
• Provide pre-project technical consulting for AI solutions.
• Design and maintain architecture frameworks supporting AI.
• Define technical standards and validation processes for AI services.
• Develop self-service tools to enable AI capability across teams.
• Promote an agile, self-organizing culture within delivery teams.

Skills

Enterprise architecture experience

AI/ML systems exposure

AI design patterns

ML algorithms

Data processing for microservices

Big data technologies (PySpark, Kafka, Hadoop)

Microsoft Azure expertise

Microservice architecture

DevOps practices

MLOps frameworks

Fluency in English

Agile leadership

Collaborative mindset

Job description

Role Overview

We are seeking a seasoned Enterprise Architect – AI to lead the architectural design and strategic implementation of scalable AI solutions across edge, cloud, and on-premises environments. This role combines deep AI technical expertise with enterprise architecture skills to support mission-critical initiatives under the global AI & Software Center for Rolls-Royce Power Systems.

Key Responsibilities

AI Architecture Services

• Provide pre-project technical consulting to estimate effort and assess feasibility for AI solutions.
• Design and maintain scalable, flexible architecture frameworks supporting AI across multiple platforms.
• Define technical standards, validation processes, and versioning protocols for AI services and algorithms.
• Ensure effective interaction and interface design between AI microservices and non-AI components.
• Develop self-service tools and governance models to enable AI capability across teams.
• Lead technology scouting efforts to identify emerging AI trends and opportunities.
• Drive cross-functional collaboration with infrastructure and shared services teams.

AI Engineering Services

• Provide technical leadership and governance to internal and external development teams.
• Assist Product Owners in technical backlog creation and enabler definition.
• Define and implement testing strategies, ensuring reliability and compliance with architectural standards.
• Act as a technical advisor to the AI architect, contributing to planning and agile ceremonies.
• Promote an agile, self-organizing culture within delivery teams.
• Facilitate seamless integration with shared IT services and platforms.

Key Deliverables

• Architecture framework documentation
• Technical consulting reports
• Microservice interface specifications
• Coding standards and efficiency improvement strategies
• Emerging technology scouting reports
• Development governance documentation
• Testing strategies and technical support documents
• Agile consultation records and integration plans

Required Skills & Qualifications

• 10+ years of experience in enterprise architecture, with strong exposure to AI/ML systems.
• Deep understanding of AI design patterns, ML algorithms (incl. generative models), and data processing for microservices.
• Hands-on experience with big data technologies: PySpark, Kafka, Hadoop.
• Strong expertise in Microsoft Azure (Azure ML, OpenAI, AKS).
• Familiar with microservice architecture, DevOps practices, and MLOps frameworks.
• Excellent communication skills and fluency in English.
• Proven leadership in agile environments and cross-functional team coordination.
• Strong problem-solving, analytical, and collaborative mindset.

Work Environment & Expectations

• Hybrid work setup in Singapore.
• Willingness to work second shift (CET) on Tuesday and Wednesday to collaborate with EMEA/US teams.
• Occasional business travel as required.