Lead/Senior Research Engineer, ARTC

About the Role
The Advanced Remanufacturing and Technology Centre (ARTC) is seeking a Software System Architect to design and deliver cognitive, agentic AI systems for intelligent manufacturing grounded in solid software architecture, human-in-the-loop and automated workflows, and secure, scalable deployment.

This role focuses on adaptive, agent-based, human-centric architectures that automate reasoning, coordinate across systems, and support decision-making in manufacturing operations. You will bridge software architecture, applied AI, and systems design to build a robust foundation for intelligent, data-driven manufacturing applications.

Key Responsibilities

.Architect multi-agent systems (planning, tool-use, collaboration, self-monitoring) for shop-floor and enterprise workflows.

.Build cognitive pipelines (LLM/RAG, knowledge graphs, reasoning, memory) that integrate manufacturing OT/IT data and orchestrate across agents.

.Design and develop AI assistants for operators, engineers, and managers with safety, traceability, and governance.

.Define reference architectures, interfaces, and patterns for AI services and orchestration.

.Operationalize ML/LLM (MLOps/LLMOps): evaluation, drift monitoring, guardrails, and continuous improvement.

.Lead integration across OT/SCADA/MES/ERP, AI/ML services, and cloud ensure reliability and observability.

.Translate AI research into production components drive proof-of-concepts to scalable platforms.

Requirements

.Bachelor's or Master's degree in Computer Science, Software Engineering, or related fields.

.5+ years in software/system architecture, with experience in AI/ML applications and systems.

.Deep software architecture expertise (microservices, eventdriven, APIs) and distributed systems.

.Hands-on with LLMs and AI agents (multi-agent orchestration frameworks, tool-calling, reasoning).

.Knowledge representation (RAG, embeddings, ontologies/knowledge graphs).

.MLOps/LLMOps (evaluation, telemetry, prompt/policy management, secure deployment).

.Excellent problem-solving, collaboration, and technical communication skills.

Good to have

.Backend development (Python/C#/Node.js), message queues, and data pipelines.

.Cloud-native (Azure/AWS/GCP), containers (Docker/Kubernetes), CI/CD, observability.

.Passion for human-centered, intelligent automation in manufacturing.

.Industrial domain familiarity (automation and manufacturing processes).