ABOUT THE COMPANY
Zenith Infotech (S) Pte Ltd. was started in 1997, primarily with the vision of offering state-of-the-art IT Professionals and solutions to various organizations and thereby helping them increase their productivity and competitiveness. From deployment of one person to formation of whole IT teams, Zenith Infotech has helped clients with their staff augmentation needs. Zenith offers opportunity to be engaged in long term projects with large IT savvy companies, Consulting organizations, System Integrators, Government, and MNCs.
EA 20S0237
Employment Details
Employment type: Contract - 3 years
Location: Fusionopolis
Working Hours: 8:30AM to 6:00PM (Mon-Fri)
Working Arrangement: Full Onsite
About the Role
We are seeking a System Architect to design and build next-generation intelligent manufacturing systems powered by AI. This role focuses on developing adaptive, agent-based, and human-centric architectures that automate reasoning, coordinate across systems, and support decision-making in manufacturing operations.
You will bridge software architecture, applied AI, and systems design to create a robust foundation for intelligent, data-driven manufacturing applications.
Key Responsibilities
• Design scalable system frameworks combining AI reasoning, automation, and user collaboration.
• Lead the design and development of agent-based frameworks enabling autonomous planning and collaboration.
• Embed intelligent assistants and copilot features to enhance operator or engineer experience.
• Develop knowledge-driven architectures connecting data, models, and insights.
• Work with AI and data teams to ensure seamless deployment and continuous learning.
• Define reference architectures, data flow, and integration blueprints for connected platforms and systems.
• Translate AI research into deployable, maintainable system components.
• Evaluate emerging technologies for multi-agent orchestration and adaptive interfaces.
Requirements
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related fields.
• 5+ years in software or system architecture, with experience in AI/ML or industrial systems.
• Strong in backend development (C#, Python, or Node.js) and microservices design.
• Proficient in Docker, Kubernetes, and cloud-native architectures (Azure, AWS, or GCP).
• Familiar with DevOps/MLOps and distributed systems (e.g., message queues, IoT pipelines).
• Knowledge of AI systems, reinforcement learning, or knowledge graphs is a plus.
• Understanding of industrial IoT, automation systems, or manufacturing processes is advantageous.
• Excellent problem-solving, collaboration, and technical communication skills.
Preferred Attributes
• Passion for human-centered, intelligent automation in manufacturing.
• Ability to design scalable, modular AI-driven systems from concept to deployment.
• Comfortable working across AI research, software engineering, and industrial domains.
• Curious, experimental, and forward-thinking with new AI technologies and architectures.
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