AI LLM Technology Architecture Associate Director

About the Role

أكسنتشر is seeking an AI LLM Technology Architecture Associate Director in Riyadh. This full-time role involves serving as a lead or principal AI architect, acting as the definitive technical authority on AI architecture within client engagements and across the practice. The Associate Director will own the complete, end-to-end architecture of advanced AI platforms and solutions, encompassing classical machine learning, generative AI, and agentic systems.

Strategic Leadership in AI Architecture

A key aspect of this position is operating at the executive level, collaborating with CIOs, CTOs, and senior business leaders to shape enterprise AI strategy. This involves connecting business goals and transformation agendas to a coherent technical vision, ensuring AI investments are purposeful and deliver competitive advantage. The role requires leading and integrating the work of multiple domain architects and subject matter specialists, providing architectural vision, technical governance, and cross-domain coherence for unified, enterprise-ready systems.

Core Responsibilities

• Partner with CIOs, CTOs, and business leaders to shape enterprise AI strategy and build implementation roadmaps.
• Own the complete, end-to-end technical solution for complex AI platforms, ensuring alignment with business objectives and enterprise standards.
• Translate governing architecture principles into concrete technical solutions for domain teams.
• Build innovative prototypes and proofs of concept using emerging technologies.
• Perform technology assessments and comparisons, providing evidence-based recommendations on tools, frameworks, and platforms.
• Set architectural direction for model- and tool-agnostic multi-agent ecosystems, including orchestration, memory, and tool/skill use.
• Define the foundation model and inference strategy, covering adaptation, fine-tuning, and dynamic routing.
• Establish standards for high-throughput, low-latency inferencing and classical ML deployment within unified platforms.
• Own the architecture of the enterprise context layer, including knowledge graphs, ontologies, vector search, and semantic retrieval.
• Be accountable for security, governance, observability, performance, and scalability across all domains.
• Establish the identity and authorization model, including per-agent identity and IAM/IAP binding.
• Define the layered guardrail framework applied at every boundary.
• Govern the MCP control plane across internal and third-party servers.
• Establish FinOps as a first-class concern, including usage labeling and gateway-enforced budgets.
• Make definitive decisions on design patterns, reference architectures, frameworks, and technology selections.
• Lead and integrate the work of domain architects and specialists, resolving cross-domain tensions.
• Build the practice's reusable reference architectures, frameworks, and assets.
• Conduct deep-dive architecture workshops with client executives and engineering teams.
• Produce and govern authoritative architecture artifacts, such as blueprints, reference architectures, ADRs, and integration specifications.

Thought Leadership and Practice Development

Beyond client delivery, the Associate Director will serve as a recognized thought leader in AI, staying current with the latest research, emerging standards, and industry innovations. This includes actively shaping the practice's AI architecture point of view, contributing to internal knowledge and frameworks, and representing the firm externally through publications, conference engagements, and client advisory conversations. The role involves evaluating and making definitive decisions on design patterns, technical frameworks, and technology selections, balancing innovation with pragmatism to deliver robust and scalable systems.

Architectural Oversight and Governance

The Associate Director will provide architectural oversight across AI agent ecosystems, encompassing multi-agent orchestration, tool use, skills use, and memory systems. This also includes foundation model integration, fine-tuning strategies, and classical ML model deployment within cohesive, production-ready platforms. Accountability extends to ensuring the complete architecture meets rigorous non-functional requirements across security, observability, governance, performance, and scalability, addressing these concerns holistically and consistently across all domains. The role involves producing and governing authoritative architecture artifacts that guide delivery at scale, providing executive-level technical leadership to cross-functional engineering teams and client stakeholders.

Application Process

Candidates interested in this full-time position are encouraged to apply.