AI Application Principal Technologist
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Job Summary
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.
Were the first software business in the world to have our sustainability targets validated by the SBTi and weve been recognized for the transparency and ambition of our commitment to diversity equity and inclusion. Weve also recently been named as one of the worlds most innovative companies.
If youre 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 AVEVAs 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
Bachelors 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 its 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.
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.
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Staff IC
About Company
At AVEVA, we work with you and harness the power of our ecosystem, to deliver solutions and expertise to optimize engineering, operations and performance.
