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Manager | Engineering AI & Data | AI Architect

Unlock employer Riyadh, Saudi Arabia Posted: 07 Nov 2025

Financial

  • Estimate: $120k - $150k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional
  • Arabic: Preferred

Position

We are seeking a highly experienced AI Architect at Manager level to lead the design, development, and delivery of cutting-edge AI solutions for our clients. The role combines deep technical expertise in artificial intelligence with the ability to shape strategic engagements, advise senior stakeholders, and lead multidisciplinary teams. This is a client-facing leadership position where you will architect enterprise-grade AI solutions that drive measurable business impact.

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Key Responsibilities

  • Strategy & Advisory: Act as a trusted advisor on emerging AI trends (generative AI, agentic AI, decision intelligence, industrial AI, digital twins, etc.) and their enterprise applications.
  • Architecture & Solution Design: Define enterprise-scale AI architectures, including LLM-based solutions, MLOps, agent orchestration, data pipelines, and integration with existing enterprise platforms (SAP, Oracle, Salesforce, ServiceNow). Establish best practices in trust, risk, governance, and compliance, ensuring adherence to regulatory frameworks (e.g., GDPR, PDPL, NDMO). Provide architectural leadership across AI infrastructure (cloud platforms such as GCP, AWS, Azure), model deployment frameworks, and edge/on-device AI where relevant.
  • Delivery & Execution: Lead end-to-end delivery of complex AI programs, from PoC through scaling into production. Collaborate with engineering, data science, and consulting teams to ensure solutions are scalable, secure, and high-performing. Drive the industrialization of AI assets into reusable accelerators and IP for the firm.
  • Leadership & Practice Building: Mentor and develop AI architects, engineers, and consultants within the firm. Contribute to the growth of the AI consulting practice through go-to-market offerings, client proposals, and thought leadership. Represent the firm at industry forums, conferences, and client workshops as a thought leader in AI architecture.

Qualifications & Experience

  • 8-10 years of professional experience with at least 4+ years in AI/ML architecture roles.
  • Proven experience in consulting or advisory, ideally within Big 4, top-tier consulting, or a global systems integrator.
  • Strong technical foundation in:
    • Large Language Models (LLMs), generative AI, and agent-based systems
    • MLOps, data engineering, cloud-native AI solutions (GCP, Azure, AWS)
    • Enterprise application ecosystems (ERP, CRM, HRM platforms)
    • AI security, governance, and compliance frameworks
  • Track record of leading large-scale AI programs and cross-functional teams.
  • Strong business acumen with the ability to translate complex AI concepts into executive-level narratives and measurable value.
  • Advanced degree in Computer Science, Computer Engineering, AI or related field preferred.
  • Willingness to travel across the GCC region (50-75% of the time).

Additional Preferred Qualifications

  • Arabic language is a plus.
  • Professional Certifications in the field are a plus.
  • Publications or articles on Artificial Intelligence topics are a plus.

Key Competencies

  • Strategic Thinking: Ability to shape enterprise AI transformation journeys.
  • Technical Leadership: Expertise in designing and governing scalable AI architectures.
  • Client Engagement: Strong consulting skills, executive presence, and storytelling ability.
  • Innovation Mindset: Passion for exploring emerging AI paradigms and turning them into business value.
  • People Leadership: Proven ability to mentor, inspire, and build high-performing teams.

What We Offer

  • Opportunity to lead AI architecture for some of the region’s most ambitious transformation programs.
  • A platform to shape the future of AI consulting and build new IP and accelerators.
  • Career growth in a dynamic, fast-scaling practice with global exposure.
  • Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
  • Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
  • Strong business acumen, identifying opportunities where data science can drive business value and growth.
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