Purpose of the Role

The Enterprise AI Architect defines and maintains the reference architecture, standards, and design patterns for AI across PASHA Financial Holding. The role establishes the target-state blueprint for the Group's AI platform products — AI Platform, PASHA Workbench, AI Gateway, and AI Marketplace — and the architectural standards that Strategic Assets follow when they select, deploy, and operate AI solutions.

Strategic Context

The role exists to make AITO's prescriptive model coherent at the architecture level. AITO defines the requirements and patterns platforms must satisfy; Strategic Assets build and operate within them. The Enterprise AI Architect owns the technical blueprint that turns Group strategy, sovereignty, and regulatory constraints into a consistent, implementable architecture across all Strategic Assets.

This role sits within the AI Transformation Office (AITO) and reports to the Director of AI Platform & Engineering.

Key Responsibilities

Reference Architecture & Standards

• Define and maintain the Group's target-state AI reference architecture spanning AI Platform, AI Gateway, AI Workbench, and AI Marketplace.

• Establish architectural standards, design patterns, and technology guardrails that Strategic Assets follow for AI and agent solutions.

• Set standards for model orchestration, retrieval, agentic patterns, and integration across on-premises and approved cloud environments.

• Maintain the architecture as products and requirements evolve, versioning patterns and communicating changes to Strategic Assets.

Architecture Governance

• Review Strategic Asset solution designs against the reference architecture and Group standards, approving or directing revision.

• Define architectural constraints for data sovereignty, per-company isolation, PII handling, and multi-jurisdiction regulatory compliance.

• Provide architectural input to build-versus-buy and vendor selection decisions across the Group.

• Arbitrate architectural trade-offs where Strategic Asset needs and Group standards diverge.

Technical Leadership

• Guide Strategic Asset and platform engineering teams on applying the reference architecture to concrete solutions.

• Resolve complex architectural questions spanning security, model access, orchestration, and observability.

• Set the architectural direction for cross-cutting platform capabilities, including multilingual PII masking and shared document, fraud, and agent services.

• Produce architecture documentation, decision records, and blueprints that make the target state implementable.

Cross-Functional Alignment

• Align the reference architecture with PASHA Technology on hosting, infrastructure, and shared services.

• Work with Information Security, Compliance, and Risk to embed regulatory and sovereignty requirements into the architecture from the outset.

• Provide architectural input to the Product, Process & Governance pillar.

Requirements

Required:

• 6+ years in enterprise, solution, or systems architecture, with at least 2 years defining reference architectures or standards at organisation scale.

• Deep experience architecting AI/ML platforms, LLM integration, model orchestration, and agentic systems.

• Proven ability to set architectural standards and governance adopted across multiple teams or business units.

• Strong command of hybrid on-premises and cloud architecture, and model-agnostic platform design.

• Strong understanding of AI security, data privacy, and compliance in regulated industries; financial services experience preferred.

• Excellent communication skills, with the ability to align both deeply technical engineering teams and senior business stakeholders on architectural direction.

Preferred:

• Experience in financial services, insurance, or fintech with regulatory constraints on data and cloud usage.

• Experience architecting AI gateways, model registries, marketplaces, or multi-tenant AI platforms.

• Familiarity with agentic AI frameworks, multi-agent systems, and orchestration patterns.

• Experience defining architecture across decentralised or federated engineering organisations.

• Familiarity with data sovereignty and multi-jurisdiction regulatory architecture.