Enterprise Architect – AI Architect
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Key skills for this role
About the Role
Define future-state architecture, drive AI adoption, manage technology lifecycle, and ensure governance while possessing strong enterprise architecture skills and strategic thin.
Key Skills for This Role
Responsibilities
- Define and evolve future state architecture for the assigned domain, including principles, standards, patterns, and reference architectures.
- 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.
- Define and evolve enterprise AI architecture foundations, including platforms and reference architectures.
- Own standards and patterns for AI/ML, GenAI, MLOps, LLMOps, and agentic systems.
- Maintain the AI technology catalog and define long term AI evolution roadmaps.
- Drive adoption of approved AI architectures across application and platform teams.
- Own the domain software and technology catalog and define Invest/Hold/Disinvest lifecycle positioning.
- Define and enforce architecture guardrails to drive standardization, reuse, resilience, and security by design.
- Govern solution and platform designs through EA governance forums.
Requirements
- Experience defining future state architecture and architecture principles, standards, and patterns
- Experience in AI domain architecture including AI/ML, GenAI, MLOps, LLMOps, and agentic systems
- Experience owning software/technology catalog and lifecycle management
- Experience in architecture governance and enforcing standards
- Ability to drive adoption of approved architectures across teams
Full Job Posting
Future State Architecture & Platform Strategy
- 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.
AI Domain Architecture
- Define and evolve the enterprise AI architecture foundations, including platforms and reference architectures.
- Own standards and patterns for AI/ML, GenAI, MLOps, LLMOps, Agentic systems.
- 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.
Software/Technology Catalog & Lifecycle Management
- 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 architecture standards, governance decisions, and modernization roadmaps.
- Prevent uncontrolled technology sprawl and duplication.
Architecture Strategy, Adoption & Governance
- Define and enforce architecture guardrails to drive standardization, reuse, resilience, and security by design.
- Govern solution and platform designs through EA governance forums, focusing on alignment to standards and patterns.
- 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.
EA Capability Modernization & Thought Leadership
- 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.
Collaboration & Stakeholder Engagement
- 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.
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