Senior AI Solutions Architect (Industrial Systems)
Candidate Experience site- Location
- Suzhou, China
- Workplace
- —
- Employment
- Full Time
- Salary
- —
Posted 2mo ago
1.AI Architecture & Solution Design
- Lead the design of end-to-end, scalable AI architectures supporting industrial and manufacturing use cases.
- Translate complex business and operational requirements into robust AI, data, and system architecture solutions ready for large-scale deployment.
- Define architecture blueprints covering data pipelines, model lifecycle management, deployment frameworks, and IT/OT system integration.
- Ensure full alignment with enterprise IT standards, cybersecurity policies, and industrial constraints. 2. Industrial AI Integration & Deployment
- Drive the integration of AI solutions into production environments, including PLCs, MES, and SCADA systems.
- Ensure interoperability with heterogeneous and legacy industrial systems using standard protocols.
- Deliver production-grade AI systems meeting strict requirements on reliability, latency, uptime, and safety.
- Lead the industrialization and scaling of AI solutions across plants and production lines. 3. Technical Leadership & Governance
Provide technical leadership across the entire AI lifecycle
architecture, development, deployment, and continuous optimization.
- Establish and enforce best practices in AI engineering, model governance, monitoring, and lifecycle management.
- Mentor cross-functional teams (AI engineers, IT/OT, production teams) to build sustainable internal capabilities. 4. Standardization & Operational Excellence
- Develop reusable architecture patterns, frameworks, and deployment templates to standardize AI rollout.
- Drive continuous improvement of AI system scalability, maintainability, and long-term performance.
- Promote operational excellence through structured methodologies and industrial best practices. 5. Stakeholder Collaboration & Interface Management
- Act as the primary technical interface between Business Units, IT, OT, and external partners.
- Collaborate closely with production and operational stakeholders to ensure business value realization.
- Coordinate with system integrators and technology partners when required.
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