Enterprise Architect AI Architect

Overview

• Define and evolve the future state architecture for the assigned domain, including architecture principles, standards, patterns, and reference architectures.
• Establish clear architectural mechanisms and positions that guide how technologies are selected, used, and evolved within the domain.
• Define strategic technology and platform direction, including modernization, consolidation, and managed exit of legacy technologies.
• Develop architecture position papers, option analyses, and target state roadmaps to support executive and governance decision making.
• Ensure architectural direction consistently addresses scalability, resilience, security, data protection, regulatory compliance, and operational sustainability.
• Contribute to enterprise level architecture initiatives and overall EA practice maturity uplift.
• Define and evolve the enterprise AI architecture foundations, including platforms, and reference architectures
• Define and evolve the enterprise AI architecture foundations, including platforms, and reference architectures
• Own standards and patterns for AI/ML, GenAI, MLOps, LLMOps, Agentic
• Maintain the AI technology catalog, including lifecycle positioning of AI capabilities
• Define long term AI evolution roadmaps, balancing innovation with governance, trust, and operational sustainability
• Drive adoption of approved AI architectures across application and platform teams
• Own the domain software and technology catalog, in collaboration with Technology Owners.
• Define Invest / Hold / Disinvest lifecycle positioning with clear architectural rationale.
• Ensure lifecycle intent is reflected in:
• o Architecture standards and patterns
• o Architecture governance decisions
• o Long term modernization and rationalisation roadmaps
• Prevent uncontrolled technology sprawl and duplication.
• Define and enforce architecture guardrails to drive standardisation, reuse, resilience, and security by design.
• Govern solution and platform designs through EA governance forums (e.g.
• EADA), focusing on alignment to standards, patterns, and approved catalog technologies.
• Drive early and consistent adoption of architecture guidance across Technology Owners and Application Teams.
• Manage non standard designs through alignment or formally governed exceptions.
• Continuously improve architecture standards and governance mechanisms based on business evolution, delivery feedback, and operational insights.
• Act as a trusted domain authority and source of architectural thought leadership.
• Monitor industry trends and emerging technologies to inform pragmatic architectural evolution.
• Guide appropriate architectural style shifts while balancing innovation with regulatory and operational readiness.
• Identify and promote the use of automation and AI enabled approaches to simplify, scale, and industrialise EA mechanisms (standards management, governance, reviews, insights).
• Work closely with Technology owners to align architecture direction, lifecycle intent and platform roadmaps.
• Engage with Application Team and Solution Architects to provide early guidance
• Collaborate with internal governance bodies (e.g., Cloud, Data, Security) to ensure coherence across domains.
• Engage with vendors and strategic partners to assess solutions and ensure alignment with enterprise and domain architecture direction