Assistant Manager/Manager - Tech Consulting - AI Expert - Riyadh
- Compensation
- Not disclosed
- Location
- Riyadh, SA, 11391
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Not specified
- Posted
Skills
Must have
- • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- • Typically 6-12 years of relevant experience in AI, machine learning, data, analytics, software engineering, or technology consulting, with the level determined by the depth and breadth of experience
- • Proven experience leading the design, development, testing, and deployment of AI and Generative AI solutions.
- • Experience working with cloud-based AI services and enterprise technology environments.
- • Strong analytical, problem-solving, commercial, documentation, presentation, and executive communication skills.
- • Demonstrated ability to lead multidisciplinary project teams and build trusted relationships in client-facing environments.
- • Ability to manage multiple workstreams, budgets, timelines, risks, and team performance while maintaining high-quality delivery.
- • Professional certifications in cloud, AI, machine learning, data engineering, project management, or related technologies are advantageous.
Nice to have
- • Large language models and foundation models, including OpenAI, Azure OpenAI, Llama, Qwen, Claude, Gemini, or equivalent technologies.
- • Retrieval-Augmented Generation and enterprise knowledge assistants.
- • AI agents, agentic workflows, and orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
- • Vector databases and search technologies such as Azure AI Search, Elasticsearch, Pinecone, Weaviate, or equivalent platforms.
- • MLOps, LLMOps, model evaluation, observability, and AI security controls.
- • Enterprise AI platforms, responsible AI principles, and AI governance frameworks.
- • Solution architecture, technical design documentation, Agile delivery, and client demonstrations.
Full description
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
The Opportunity
At EY, we are committed to driving innovation and transformation through advanced AI, Generative AI, and data-driven solutions. We help clients unlock business value by leveraging emerging technologies to improve operations, enhance decision-making, and accelerate digital transformation initiatives.
We are seeking an Assistant Manager / Manager with strong experience in AI and Generative AI technologies to lead the design, development, and implementation of AI architectures and technical solutions that enable business use cases. The ideal candidate will combine deep technical expertise across machine learning, Generative AI, natural language processing, cloud platforms, and modern AI deployment approaches with proven experience leading workstreams, managing teams, and delivering AI solutions within complex enterprise environments.
Key Responsibilities
- Lead the design and implementation of AI and Generative AI solutions that address client business challenges and support digital transformation initiatives.
- Own the development of AI architectures, technical designs, and deployment approaches aligned with client requirements and industry-leading practices.
- Lead cross-functional collaboration to identify, assess, prioritize, and shape AI use cases and business opportunities.
- Develop and integrate AI applications using large language models, Retrieval-Augmented Generation, vector databases, and agentic architectures.
- Configure, customize, and deploy pretrained AI models and transformer-based solutions for content generation, summarization, information retrieval, conceptual querying, and conversational AI.
- Assess client data platforms, applications, and processes to identify AI integration opportunities and recommend technical improvements.
- Oversee the development of proofs of concept, pilots, and production-ready AI solutions, including planning, testing, deployment, and quality assurance activities.
- Ensure responsible AI, governance, privacy, security, intellectual property, and regulatory compliance requirements are addressed throughout the solution lifecycle.
- Guide model evaluation, validation, monitoring, performance optimization, and prompt refinement, reviewing outputs and resolving delivery risks.
- Review and approve technical documentation, solution architecture diagrams, implementation plans, client presentations, and delivery status updates.