AI Solution Delivery Manager

About the Role

As an AI Solution Delivery Manager, you will lead the delivery of end-to-end AI solutions, managing teams, stakeholders, and technical architecture to drive AI transformation. Your focus will be on designing and implementing scalable AI/ML solutions, ensuring successful adoption, and delivering measurable business impact for clients.

Key Roles and Responsibilities:

• AI Transformation & Delivery

  • Lead end-to-end delivery of AI/ML solutions for public sector clients, from requirements through production and operationalization.
  • Develop and implement AI transformation strategies aligned with national government priorities and strategic objectives.
  • Design scalable, production-grade AI architectures leveraging the full ML spectrum — GenAI, NLP, LLMs, Computer Vision, and Simulation.
  • Contribute hands-on to model development, pipeline engineering, API design, and platform integration.

• Team Leadership & Stakeholder Engagement

  • Lead and manage a multi-disciplinary AI/Data team; take accountability for team decisions, delivery quality, and individual growth.
  • Serve as the primary AI technical point of contact for senior government stakeholders, facilitating workshops, technical reviews, and executive presentations.
  • Collaborate with cross-functional teams — data engineers, cloud architects, and business analysts — to align solutions with client objectives.
  • Engage across the broader delivery network, contributing to decisions that span multiple teams and workstreams.

• Solution Architecture & Operating Model

  • Own and govern the AI & Data solution architecture, defining platform strategy, cloud AI/ML service selection, and MLOps pipeline design.
  • Contribute to AI & Data Operating Model design, ensuring government clients can sustain and extend AI capabilities independently post-engagement.
  • Analyze complex public sector challenges and design innovative, scalable AI approaches that drive measurable impact.

• Continuous Improvement & AI Adoption

  • Drive AI adoption by designing change management and enablement approaches that accelerate value realization within client organizations.
  • Integrate emerging technologies and best practices to continuously improve AI frameworks and delivery standards.
  • Contribute to the AI & Data practice through thought leadership, reusable asset development, and internal capability building.

Essential Qualifications

• Bachelor's degree or equivalent in Computer Science, Data Science, Statistics, Engineering, or a related field (minimum 12 years of work experience).
• 8-12 years of extensive experience in Data Analysis, Statistics, Machine Learning, or Computer Science.
• 5+ years of experience in machine learning, deep learning, or proficiency in Natural Language Processing (NLP).
• 5+ years of experience with AI/ML and cognitive services from at least one major cloud provider (AWS, Azure, or GCP).
• 1+ year of experience designing, building, and/or implementing Agentic Architectures.
• 1+ year of experience building Conversational AI applications using cloud-based services and orchestrating AI/ML services into end-to-end solutions.
• Ability to operate fully hands-on on coding.
• Demonstrated experience managing and leading cross-functional AI/ML delivery teams in client-facing engagements.
• Proven track record of taking AI solutions from inception to production and operationalization.

Preferred Qualifications

• Experience managing and leading Gen AI / Agentic delivery across enterprise or government clients.
• Deep industry expertise in the public sector and consulting.
• Prior experience delivering projects in Saudi Arabia or the broader GCC/MENA region.
• Familiarity with Saudi Vision 2030 digital transformation initiatives.
• Arabic language proficiency (spoken and/or written).
• Postgraduate qualification (Master's or PhD) in AI, Data Science, or a related field.