Enterprise Architect – AI Architect

· 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.

· 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 rationalization roadmaps

· Prevent uncontrolled technology sprawl and duplication.

· Define and enforce architecture guardrails to drive standardization, 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 industrialize 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