Summary
Accenture is hiring an AI Solution Delivery Manager in Riyadh to lead end-to-end AI and machine learning delivery for public sector clients. The role covers solution architecture, hands-on development and integration, production operationalization, and AI adoption, as well as leading multidisciplinary teams and engaging with senior government stakeholders. Applicants should have a relevant degree or equivalent, at least 12 years of work experience, and extensive AI, data or machine learning experience, including cloud-based AI/ML and agentic or conversational AI solutions. Arabic proficiency and experience in Saudi Arabia or the wider GCC/MENA region are preferred.
The posting
As published on accenture.com. Pulled from the employer's site and shown as they wrote it.
About Accenture
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
Job Summary:
As a AI Solution Delivery Manager leads the delivery of end-to-end AI solutions, managing teams, stakeholders, and technical architecture to drive AI transformation. The role focuses on designing and implementing scalable AI/ML solutions, ensuring successful adoption, and delivering measurable business impact for clients.
Key Roles and Responsibilities:
KEY 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 Accenture 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 Accenture's AI & Data practice through thought leadership, reusable asset development, and internal capability building.
Qualifications
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 demonstrated 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.
PREFFERED QUALIFICATIONS
- Experience managing and leading Gen AI / Agentic delivery across enterprise or government clients.
- Deep industry expertise in 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.
Way Forward:
If this sounds like the ideal role, career, and company for you, click below to apply.
To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news.
Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube