Principal Software Architect - AI & Security

The candidate in this role will be the evangelist for AI based architecture and champion for cross-organisational adoption of AI and Cybersecurity guardrails and standards.

AI Governance & Safety Guardrails: Define and enforce robust AI governance frameworks within the GCP/Vertex AI ecosystem, implementing strict data privacy and security controls compliant with NERC CIP, ISO27001 and SOC2 standards to protect sensitive customer data and mission-critical fleet operations.

Strategic Technology & Tooling: Provide technical leadership in selecting and maintaining the AI/ML stack while optimizing for the specific latency, cost, and throughput constraints of our cloud-to-device architectures. Guide technology decisions, enabling scalability, reliability, and availability guarantees.

Agentic Workflows for Customer Outcomes: Identify, Architect and guide the implementation of Agentic workflows to address critical customer pain points, such as autonomous fleet telemetry analysis and proactive diagnostic resolution, bridging cloud intelligence with embedded edge constraints.

AI-Enabled Digital Twin Validation: Design validation pipelines that leverage agentic Digital Twin simulations to stress-test software stack in a lab environment (utilizing Hardware-in-the-Loop/HWIL), ensuring system reliability and safety under diverse, high-volatility grid-edge conditions prior to deployment.

Architectural Leadership & Domain Expertise: Drive the integration of Generative AI across the product development life cycle stages, applying extensive experience in distributed systems, data and IoT architecture; strong preference for candidates with a demonstrated track record in industrial automation, energy-grid management, or power-generation & distributions industries.

Innovation & Change Leadership: Champion innovation, collaborate across cross-functional organizations, secure leadership buy-in for strategic initiatives, and serve as a catalyst for organizational change.