Enterprise Architect – AI Architect Dicetek LLC

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 …

• 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:

o   Architecture standards and patterns

o   Architecture governance decisions

o   Long‑term modernization and rationalization 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 (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.

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 (standards management, governance, reviews, insights).

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