AI LLM Technology Architecture Associate Director
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Key skills for this role
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.
Key Skills for This Role
Full Job Posting
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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