Asks for

The ad says“Familiarity with cloud-native architectures, distributed systems, containerization technologies, and modern AI deployment patterns.”
The ad says“Strong understanding of AI infrastructure, including model serving, vector databases, retrieval systems, inference optimization, observability, and AI operations.”
The ad says“Strong understanding of AI infrastructure, including model serving, vector databases, retrieval systems, inference optimization, observability, and AI operations.”
The ad says“Understanding of AI infrastructure components including model routing, caching, observability, evaluation, security, and cost optimization.”
The ad says“Familiarity with cloud-native architectures, distributed systems, containerization technologies, and modern AI deployment patterns.”
The ad says“Familiarity with cloud-native architectures, distributed systems, containerization technologies, and modern AI deployment patterns.”
The ad says“Understanding of AI infrastructure components including model routing, caching, observability, evaluation, security, and cost optimization.”
The ad says“Knowledge of industrial software, HMI/SCADA systems, or digital industrial platforms.”
The ad says“Familiarity with cloud-native architectures, distributed systems, containerization technologies, and modern AI deployment patterns.”
The ad says“Knowledge of industrial software, HMI/SCADA systems, or digital industrial platforms.”
The ad says“Knowledge of industrial software, HMI/SCADA systems, or digital industrial platforms.”
The ad says“Strong understanding of AI infrastructure, including model serving, vector databases, retrieval systems, inference optimization, observability, and AI operations.”
The ad says“Experience with multi-agent systems and large-scale Agent orchestration frameworks.”
The ad says“Experience building enterprise AI platforms, AI gateways, RAG systems, vector databases, and model lifecycle management frameworks.”
The ad says“Understanding of AI infrastructure components including model routing, caching, observability, evaluation, security, and cost optimization.”
The ad says“Strong understanding of AI infrastructure, including model serving, vector databases, retrieval systems, inference optimization, observability, and AI operations.”
The ad says“Experience with multi-agent systems and large-scale Agent orchestration frameworks.”
The ad says“Strong understanding of AI infrastructure, including model serving, vector databases, retrieval systems, inference optimization, observability, and AI operations.”
The ad says“Experience building enterprise AI platforms, AI gateways, RAG systems, vector databases, and model lifecycle management frameworks.”
The ad says“Strong understanding of AI infrastructure, including model serving, vector databases, retrieval systems, inference optimization, observability, and AI operations.”
The ad says“Understanding of AI infrastructure components including model routing, caching, observability, evaluation, security, and cost optimization.”
The ad says“Strong understanding of AI infrastructure, including model serving, vector databases, retrieval systems, inference optimization, observability, and AI operations.”

AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably.

We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies.

If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.

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Job Title: AI Application Principal Technologist

Location: Beijing

Employment Type: Full-time

The job

The AI Application Principal Technologist will lead the design and implementation of Agent-based capabilities within AVEVA's HMI/SCADA portfolio. This role is responsible for defining AI-native architectures, enabling multi-agent systems, and transforming existing product capabilities into intelligent services accessible through modern AI interaction models. You will work closely with Product and Engineering teams to bring cutting-edge AI technologies into industrial software solutions.

Key responsibilities

Design and implement Agent-based capabilities within HMI/SCADA products.
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.
Strong understanding of AI infrastructure, including model serving, vector databases, retrieval systems, inference optimization, observability, and AI operations.
Experience designing and operating AI platforms that support Agent workloads at scale.
Familiarity with cloud-native architectures, distributed systems, containerization technologies, and modern AI deployment patterns.

Essential requirements

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 industrial software, HMI/SCADA systems, or digital industrial platforms.

Desired skills and competencies

Passion for innovation and a strong 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 industrial software, HMI/SCADA systems, or model customization techniques such as LoRA and Adapter tuning.

R&D at AVEVA

Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.

Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.

Find out more: aveva.com/en/about/careers/r-and-d-careers/

AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.

Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.

Asks for

Values