Senior Engineer, Platform Engineering and Architecture

To lead the engineering, architecture, and run-state ownership of the company's enterprise AI & Agentic Platform, ensuring it operates as a reliable, secure, observable, and bank-grade production platform supporting agents and AI workloads across the Group. The role is the senior technical authority for platform engineering and architecture across the agentic runtime, model gateway, integration fabric, identity layer, and infrastructure backbone of the platform. It operates in a two-in-a-box model with the existing Platform Product Owner to provide concurrent technical ownership and organizational resilience for the platform, with shared accountability for platform availability, performance, cost, security posture, and architectural evolution. The role is deeply technical in nature, requiring hands-on engineering depth across distributed systems, agentic protocols, LLM infrastructure, identity and access management, and cloud-native platform engineering.

Key Responsibilities

• Own the end-to-end technical architecture of the AI & Agentic Platform's five-layer stack: Action Gateway, Agent Kernel, Control Plane, Knowledge Foundation, and the Users and Channels layer.
• Architect and evolve the agentic runtime to natively support the emerging multi-protocol stack: Model Context Protocol (MCP) for agent-to-tool access, Agent-to-Agent (A2A) for inter-agent coordination and task delegation, ensuring the platform is interoperable with hyperscaler agent fabrics.
• Lead the integration architecture between the AI Platform and the company's core estate, including core banking, payments, treasury, credit and risk systems, and the enterprise data platform.

Requirements

• 10+ years in software and platform engineering, with significant time spent at senior, staff, or principal engineering/architect level.
• Strong hands-on knowledge of agent orchestration frameworks and deep technical knowledge of LLM serving and inference architecture.
• Bachelor's degree in computer science, Software Engineering, Electrical Engineering, or a related technical discipline.