AI Solution Delivery Manager
Role Overview
Leads end-to-end AI solutions, managing teams, stakeholders, and technical architecture to drive AI transformation.
Focuses on scalable AI/ML implementation, adoption, and measurable client business impact, particularly for public sector clients.
Key Skills for This Role
Full Job Posting
Role overview
Leads end-to-end AI solutions, managing teams, stakeholders, and technical architecture to drive AI transformation.
Focuses on scalable AI/ML implementation, adoption, and measurable client business impact, particularly for public sector clients.
AI transformation and delivery
- Lead AI/ML solutions from requirements through production and operationalization for public sector clients.
- Develop transformation strategies aligned with national government priorities and strategic objectives.
- Design production-grade architectures across GenAI, NLP, LLMs, computer vision, and simulation.
- Contribute hands-on to model development, pipeline engineering, API design, and platform integration.
Leadership and architecture
- Lead a multidisciplinary AI/Data team and own team decisions, delivery quality, and individual growth.
- Engage senior government stakeholders through workshops, technical reviews, and executive presentations.
- Collaborate with data engineers, cloud architects, business analysts, and broader delivery teams.
- Govern AI & Data architecture, platform strategy, cloud service selection, and MLOps pipeline design.
Adoption and practice development
- Design operating models that help government clients sustain and extend AI capabilities after engagements.
- Design scalable approaches to public sector challenges with measurable impact.
- Drive adoption through change management and enablement; improve frameworks and delivery standards.
- Contribute thought leadership, reusable assets, and internal capability building.
Essential qualifications
- Bachelor's degree or equivalent in Computer Science, Data Science, Statistics, Engineering, or a related field; the description states a minimum of 12 years of work experience.
- 8–12 years in data analysis, statistics, machine learning, or computer science.
- 5+ years in machine learning, deep learning, or demonstrated NLP proficiency; 5+ years with AI/ML and cognitive services from AWS, Azure, or GCP.
- 1+ year designing, building, or implementing agentic architectures; 1+ year building cloud-based conversational AI and orchestrating AI/ML services.
- Must be able to code hands-on, lead cross-functional client-facing AI/ML teams, and take AI solutions through production and operationalization.
Preferred qualifications
- Experience leading Generative AI or agentic delivery for enterprise or government clients; public sector and consulting expertise.
- Prior delivery experience in Saudi Arabia or the broader GCC/MENA region and familiarity with Saudi Vision 2030 digital transformation initiatives.
- Arabic proficiency and a postgraduate qualification in AI, Data Science, or a related field are preferred.
About Accenture
Accenture describes itself as a global reinvention partner providing services across cybersecurity, digital core, finance, industry, supply chain, talent, AI, data, and technology.
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