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Company Overview
This leading global technology, defence, and engineering group operates across Asia, Europe, the Middle East, and the U.S., serving customers in over 100 countries. The organization leverages technology and innovation to solve real-world problems, improving lives through a diverse portfolio spanning aerospace, smart cities, defence, and public security. Headquartered in Singapore, it ranks among the largest companies listed on the Singapore Exchange. The company is recognized for its cybersecurity expertise, delivering trusted solutions and managed security services to governments, critical infrastructure, and commercial enterprises worldwide.
Job Title: Senior AI Systems Architect (9DSC/SN) Location: Jurong East, Singapore
Job Description Responsibilities Agentic AI Architecture & Systems Design
• Design and operationalize agentic AI systems within enterprise IT and SOA frameworks.
• Define system components, APIs, and interfaces for embedding agent-based intelligence into scalable, modular platforms.
• Ensure adaptability, reusability, and maintainability of agentic AI services across enterprise applications.
AI Workflow & Business Integration
• Collaborate with business and IT stakeholders to align agentic AI capabilities with strategic goals and operational workflows.
• Translate business requirements into intelligent agent-driven processes that optimize decision-making and automation.
• Conduct feasibility assessments and define KPIs for agent-enabled systems.
Data & Model Infrastructure
• Architect and manage infrastructure supporting agentic AI workflows, including real-time data pipelines, feature stores, and model registries.
• Oversee the full lifecycle of AI agents—from model training and orchestration to deployment, monitoring, and iteration.
• Integrate ML models, reasoning engines, and multi-agent systems into core IT and product platforms.
Scalability, Performance & Optimization
• Design systems to support distributed, high-performance, and real-time agentic AI processing.
• Optimize infrastructure for low-latency decision loops and efficient agent coordination.
• Balance performance, cost, and scalability across AI compute resources and workflows.
Collaboration & Leadership
• Partner with data engineers, software developers, MLOps, and DevOps teams to ensure robust integration and lifecycle management of intelligent agents.
• Define and enforce best practices for agent orchestration, CI/CD of AI systems, and live system monitoring.
• Provide strategic and technical leadership in deploying AI agents across the enterprise.
Requirements Experience
• 8+ years in AI systems architecture, data science, or enterprise software engineering.
• Proven experience implementing AI/ML systems within SOA or cloud-native architectures.
• Hands-on experience integrating autonomous AI agents or models into enterprise products.
Technical Skills
• Proficiency with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and agentic system design.
• Advanced Python development skills; experience with deployment tools and container orchestration (Docker, Kubernetes).
• Deep knowledge of data pipelines, event-driven architectures (Kafka, Flink), and real-time AI processing.
• Experience with MLOps, model versioning, and observability tools in production environments.
Strategic & Analytical Thinking
• Ability to align agentic AI capabilities with business priorities and technical constraints.
• Skilled in conducting impact assessments, risk analyses, and designing AI-first processes.
• Strong problem-solving and communication skills across technical and non-technical audiences.
Preferred Qualifications
• Certifications in AI, Machine Learning, or Agent-Based Systems.
• Experience with Large Language Models (LLMs), multi-agent orchestration frameworks, and cognitive architectures.
Disclaimer
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