Assistant Manager/Manager - Tech Consulting - AI Expert - Riyadh

Opportunity

Responsibilities

• Lead AI solution design and implementation, architecture, technical design, deployment, and use-case development.
• Build and integrate applications using LLMs, RAG, vector databases, agentic architectures, and transformer-based models.
• Assess client platforms and processes and identify AI integration opportunities.
• Oversee proofs of concept, pilots, and production delivery, including testing, deployment, quality assurance, evaluation, monitoring, and optimization.
• Address responsible AI, governance, privacy, security, intellectual property, and regulatory compliance.
• Review technical documentation and client materials; manage client stakeholders, project teams, adoption, and knowledge transfer.
• Coach consultants and senior consultants; manage engagement scope, plans, resources, budgets, risks, and escalations.
• Contribute to proposals, solution shaping, estimation, workshops, business development, and internal capability development.

Technical skills

• Strong Python programming and familiarity with software development practices; R or Java exposure is beneficial.
• Machine learning and deep learning frameworks include TensorFlow, PyTorch, Scikit-learn, Hugging Face, or equivalents.
• Generative AI capabilities include LLMs, prompt engineering, RAG, embeddings, vector search, and model orchestration.
• Knowledge of NLP, transformer architectures, cloud AI services, SQL, Spark, data pipelines, MLOps/LLMOps, APIs, and integration patterns.
• Databricks, Microsoft Fabric, Snowflake, Azure AI services, and Power BI or Tableau are advantageous.
• Preferred experience includes foundation models, enterprise knowledge assistants, AI agents, orchestration frameworks, vector search, MLOps/LLMOps, AI security, and governance.

Qualifications

• Bachelor's or master's degree in computer science, artificial intelligence, data science, engineering, or a related field.
• Typically 6–12 years of relevant AI, machine learning, data, analytics, software engineering, or technology consulting experience; level depends on experience.
• Proven leadership of AI and Generative AI solution design, development, testing, and deployment.
• Experience with cloud-based AI services and enterprise technology environments.
• Strong analytical, problem-solving, commercial, documentation, presentation, and executive communication skills.
• Ability to lead multidisciplinary teams, build client relationships, and manage concurrent workstreams, budgets, timelines, risks, and team performance.
• Relevant professional certifications are advantageous.

What EY offers

• EY offers future-focused skills development, a flexible environment, and a diverse, inclusive culture with globally connected teams.