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AI LLM Technology Architecture Associate Director

Accenture
Riyadh, KSA
Full-time
Director
Onsite
Discovered 1 weeks ago
Enterprise AI architectureGenerative AIAgentic AI systemsClassical machine learningLarge language modelsLLM application architecture
Free

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Enterprise AI architectureGenerative AIAgentic AI systems
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Role Overview

Serve as the technical authority for end-to-end enterprise AI architecture across classical machine learning, generative AI, and agentic systems.

Work with executive client stakeholders to connect business objectives and transformation agendas to a coherent technical vision.

Lead domain architects and specialists across agentic applications, AI security, operations, data, knowledge engineering, and model platforms.

Strategic and Architecture Work

  • Shape enterprise AI strategy, conduct assessments, and build implementation roadmaps with CIOs, CTOs, and business leaders.
  • Own complex AI platform architecture and translate governing principles into defensible technical solutions.
  • Build prototypes and proofs of concept, evaluate technologies, and make evidence-based framework and platform recommendations.
  • Define architecture for multi-agent orchestration, memory, tool use, agent certification, AI gateways, and MCP control planes.

AI Platform Standards

  • Define foundation model adaptation, fine-tuning, inference, routing, and classical ML deployment strategies.
  • Own context architecture covering knowledge graphs, ontologies, vector search, semantic retrieval, prompts, and conversational state.
  • Set standards for security, identity, authorization, layered guardrails, governance, observability, performance, and scalability.
  • Establish FinOps practices covering usage labelling, budgets, and cost-per-archetype planning.

Leadership and Artifacts

  • Lead domain architects and specialists, resolve cross-domain tensions, and integrate their work into enterprise-ready systems.
  • Produce and govern blueprints, reference architectures, architecture decision records, diagrams, and integration specifications.
  • Build reusable practice assets and represent the firm through thought leadership, publications, conferences, and client advisory work.

Required Qualifications

  • Proven experience designing and deploying enterprise-grade agentic, generative, and classical AI/ML solutions using at least one cloud vendor.
  • Proven experience in LLMs, generative AI, and LLM-driven application architecture patterns.
  • Proven experience engineering machine learning, deep learning, and NLP solutions and applications.
  • At least six years of industry experience as a machine architect designing big data, machine learning, or large-scale analytical engineering solutions.

Workplace

  • The source metadata identifies the position as onsite in Riyadh, Saudi Arabia.

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