To lead the strategic design, architecture, and enterprise build-out of the company's AI & Agentic Platform capability, ensuring it serves as a trusted, scalable, and governed foundation for AI-driven decisioning, agentic automation, and enterprise knowledge across the Group. The role is pivotal in shaping how AI capability is built, integrated, and adopted across business units, partnering with senior business and technology stakeholders to translate the company's AI ambition into a coherent platform and solution architecture aligned with the company's digital, agentic, and AI roadmap, regulatory expectations, and Group strategy.
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Responsibilities
- Define and own the target architecture for the AI & Agentic Platform, covering the agentic runtime, action gateway, control plane, knowledge foundation, model gateway and abstraction, evaluation, and observability layers.
- Set and evolve the cloud architecture for AI workloads across Azure and AWS, including hybrid model serving, inference economics, network and identity design, data residency, and the build-versus-buy positioning across managed services and company-built capabilities.
- Lead the integration architecture between the AI Platform and the company's core estate, including core banking, risk and credit systems, treasury and finance platforms, the enterprise data platform (Azure and Cloudera), enterprise APIs, ESB, and identity services.
- Establish and govern the engineering, architectural, and AI engineering standards adopted across the AI Platform team.
- Shape the company's multi-year AI capability direction, including build-versus-buy positioning, foundation model strategy, proprietary capability investment, and platform evolution in response to changes in the agentic AI and regulatory landscape.
- Build enterprise AI capability across the Group through reference architectures, standards, communities of practice, internal forums, and direct mentorship of senior engineers and architects.
- Engage business heads and their CIOs across various banking divisions to shape how AI is integrated into their operating models, beyond individual use cases.
- Manage strategic technology partnerships with hyperscalers, foundation model providers, agentic framework vendors, and SI partners.
- Represent the company externally in industry forums, regulator working groups, and peer banks, contributing to the Group's thought leadership on enterprise agentic AI.
Requirements
- Deep, current architectural knowledge of agentic AI systems, including orchestration frameworks and multi-agent systems.
- Strong working knowledge of foundation model architecture and integration patterns.
- Proven expertise in integrating AI and data platforms into the core estate of a bank or comparably regulated enterprise.
- Strong grounding in software and platform engineering, with hands-on credibility in architecture reviews and critical design decisions.
- Demonstrated ability to influence at executive level and strong stakeholder management skills.
- 12+ years in software, platform, or AI engineering and architecture, with significant experience at a principal, staff, or distinguished engineer/architect level.
- Minimum qualifications include a Bachelor's degree in Computer Science, Software Engineering, or a related field.
Preferred
- Master's degree or relevant professional certifications such as cloud architecture considered an advantage.
