تعلن شركة Accenture Middle East في الرياض عن فرصة لوظيفة AI LLM Technology Architecture Associate Director، حيث يركز الدور على تصميم وتطوير حلول الذكاء الاصطناعي المتقدمة وربطها بأهداف الأعمال ضمن بيئة تقنية متطورة.
تفاصيل الوظيفة
- الشركة: Accenture Middle East
- المدينة: الرياض (Riyadh)
- الدولة: السعودية (Saudi Arabia)
- نوع الدوام: دوام كامل (Full Time)
- المستوى: مدير تنفيذي (Director)
- المجال: هندسة الذكاء الاصطناعي (AI/ML Engineering)
الوصف الكامل لهذه الوظيفة ومتطلباتها وإجراءات التقديم عليها باللغة الإنجليزية، وهي معروضة أدناه كما وردت من صاحب العمل دون أي تعديل أو ترجمة.
Job Summary
This role leads the design and oversight of advanced AI platform architectures, including generative AI and agentic systems, aligning technical solutions with client business goals and enterprise standards. It involves executive-level collaboration and leadership of domain architects to deliver cohesive, scalable AI solutions.
Responsibilities
- Collaborate with CIOs, CTOs, and business leaders to develop enterprise AI strategies linking business objectives to technical visions.
- Lead AI assessments and create implementation roadmaps to sequence investments for competitive advantage.
- Own end-to-end architecture of complex AI platforms ensuring alignment with business and enterprise standards.
- Translate architecture principles into actionable technical solutions for domain teams.
- Develop prototypes using emerging technologies to validate concepts and reduce risks.
- Evaluate and recommend tools, frameworks, and platforms based on technology assessments.
- Define architectural direction for multi-agent ecosystems, including orchestration, memory, and tool use.
- Produce and govern architecture artifacts such as decision records, reference architectures, and integration specifications to guide delivery at scale.
Requirements
- Experience designing and deploying enterprise-grade AI solutions using agentic, generative, and classical AI/ML on at least one cloud platform.
- Experience in the LLM and Generative AI domain.
- Experience architecting and operationalizing LLM-driven application architectures.
- Experience in engineering, machine learning, deep learning, and NLP solutions.
- At least 6 years as a machine architect designing big data, machine learning, and large-scale analytical engineering solutions.
We refresh listings regularly, but some roles close early on the source platform.

