AI Application Principal Technologist

About the role

The AI Application Principal Technologist will lead the design and implementation of agent‑based capabilities within AVEVA’s HMI/SCADA portfolio. This role defines AI‑native architectures, enables multi‑agent systems, and transforms existing product functions into intelligent services accessible through modern AI interaction models.

Key responsibilities

• Design and implement agent‑based capabilities within HMI/SCADA products.
• Define AI‑native product architectures and promote modern AI interaction patterns.
• Convert existing product features into agent‑ready and MCP‑enabled service architectures.
• Develop multi‑agent systems to enhance product intelligence and automation.
• Provide expertise on AI infrastructure, including model serving, vector databases, retrieval systems, inference optimization, observability, and AI operations.
• Design and operate AI platforms that support large‑scale agent workloads.
• Collaborate with product and engineering teams to integrate cutting‑edge AI technologies into industrial software solutions.

Required profile

• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, or a related field.
• Proven experience building enterprise AI platforms, AI gateways, RAG systems, vector databases, and model lifecycle management frameworks.
• Strong understanding of AI infrastructure components such as model routing, caching, observability, evaluation, security, and cost optimization.
• Experience with multi‑agent systems and large‑scale agent orchestration frameworks.
• Familiarity with industrial software, HMI/SCADA systems, or digital industrial platforms.

Required skills

• AI infrastructure and model serving
• Vector databases and retrieval systems
• Inference optimization and observability
• AI operations and lifecycle management
• Cloud‑native architectures and distributed systems
• Containerization technologies
• Modern AI deployment patterns
• Enterprise AI platforms and AI gateways
• RAG (Retrieval‑Augmented Generation) systems
• Multi‑agent system design and orchestration
• HMI/SCADA and digital industrial platform knowledge