AI Application Principal Technologist

AVEVA

. Lead the design and implementation of Agent-based capabilities within AVEVA's Engineering portfolio .

Posted 11/11/2026full-timeBeijing • ChinaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI-native product architectures and multi-agent systems, with a strong focus on scalable AI platforms and enterprise applications. Proficient in AI infrastructure components and cloud-native architectures to drive innovation in industrial software solutions.

Highest-signal resume keywords

AI-Native Product ArchitectureMulti-Agent Systems DesignEnterprise AI PlatformsAI Infrastructure ComponentsCloud-Native Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Agent-Based CapabilitiesModel Lifecycle ManagementVector DatabasesAI OperationsModel ServingInference Optimization3D Design SoftwareCAD/CAE SoftwareLoRA CustomizationAdapter Fine Tuning

Soft Skills

Passion for InnovationCuriosity About Emerging TechnologiesImpact-Driven Mindset

Tools & Technologies

AVEVA PDMSAVEVA E3DDistributed SystemsContainerization TechnologiesAI Deployment Patterns

Industry Keywords

AI Interaction PatternsAgent WorkloadsScalable ArchitecturesReusable Engineering FrameworksBackground Check Compliance

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

Lead the design and implementation of Agent-based capabilities within AVEVA's Engineering portfolio
Define AI-native product architectures and drive adoption of modern AI interaction patterns
Transform existing product capabilities into Agent-ready and MCP-enabled service architectures
Design and implement multi-agent systems to enhance product intelligence and automation
Work closely with Product and Engineering teams to bring cutting-edge AI technologies into industrial software solutions
Design and operate AI platforms supporting Agent workloads at scale
Enable AI infrastructure including model serving, vector databases, retrieval systems, inference optimization, observability, and AI operations

Requirements

What you’ll need

Bachelor's degree or above in Computer Science, Artificial Intelligence, or a related discipline
Experience building enterprise AI platforms, AI gateways, RAG systems, vector databases, and model lifecycle management frameworks
Understanding of AI infrastructure components including model routing, caching, observability, evaluation, security, and cost optimization
Experience with multi-agent systems and large-scale Agent orchestration frameworks
Knowledge of 3D design software, AVEVA PDMS/E3D/UE preferred
Passion for innovation and curiosity about emerging AI technologies and application patterns
Ability to drive impact through scalable AI architectures and reusable engineering frameworks
Experience designing complex multi-agent systems and AI-powered enterprise applications
Knowledge of CAD/CAE software, or model customization techniques such as LoRA and Adapter fine tuning
Familiarity with cloud-native architectures, distributed systems, containerization technologies, and modern AI deployment patterns
Successful applicants must undergo and pass a comprehensive background check
Proof of work authorization may be required as part of the background check

Benefits

Comp & perks

Great Place to Work® Certified™ workplace
Inclusive culture and equal opportunity employment
Comprehensive background check conducted in accordance with local laws