Assistant Manager/Manager - Tech Consulting - AI Expert

Ernst & Young AE; Riyadh; On-site; SAR 300,000 - 540,000; Full time

Job summary

Ernst & Young AE is seeking an Assistant Manager / Manager to lead design, development, and implementation of AI and Generative AI architectures for client use cases. You will drive cross-functional collaboration, evaluate data platforms, and oversee pilots through production readiness in complex enterprise environments.

The role requires deep ML expertise, cloud experience (Azure/AWS/GCP), and strong leadership to guide consultants and deliver measurable AI value.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related field.
• 6–12 years of relevant experience in AI, ML, data analytics, software engineering or technology consulting.
• Proven experience leading design, development, testing and deployment of AI and Generative AI solutions.
• Experience with cloud-based AI services and enterprise technology environments.
• Strong analytical, problem-solving, documentation, presentation and executive communication skills.
• Demonstrated ability to lead multidisciplinary project teams and manage multiple workstreams, budgets, timelines, risks and team performance.

Responsibilities

• Lead design and implementation of AI and Generative AI solutions addressing client business challenges.
• Own development of AI architectures, designs, and deployment approaches.
• Lead cross-functional collaboration to identify and shape AI use cases and opportunities.
• Develop and integrate AI applications using LLMs, RAG, embeddings, and agentic architectures.
• Configure and deploy pretrained AI models for content generation, summarization, and conversational AI.
• Assess client data platforms to identify AI integration opportunities and improvements.
• Oversee PoCs, pilots and production AI solutions including planning, testing and deployment.
• Ensure responsible AI governance, privacy, security, and regulatory compliance.

Skills

Python

ML frameworks

NLP

Cloud platforms

Data analytics

MLOps

LLMOps

LLMs

API integration

Databricks

Education

Bachelor's or Master's in CS/AI/Data Science/Engineering

Tools

Databricks

Azure

AWS

Google Cloud

Hugging Face

Job 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 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
• Manage client stakeholders and project teams to drive successful implementation, knowledge transfer, adoption and measurable value from AI solutions
• Lead, coach and review the work of consultants and senior consultants providing clear direction and supporting their professional development
• Manage engagement scope, delivery plans, resourcing, budgets, dependencies, risks and escalations in coordination with engagement leadership
• Contribute to proposals, solution shaping, effort estimation, client workshops and business development activities for AI and Generative AI opportunities
• Stay current with emerging AI technologies, frameworks and industry trends and translate relevant insights into client propositions, project delivery and internal capability development

Technical Skills

• Strong programming skills in Python and familiarity with software development practices; exposure to R or Java is beneficial
• Hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face or equivalent technologies
• Experience with Generative AI technologies including large language models, prompt engineering, RAG, embeddings, vector search and model orchestration frameworks
• Familiarity with NLP techniques and transformer-based architectures
• Knowledge of cloud platforms such as Microsoft Azure, AWS or Google Cloud including cloud-based AI services and deployment patterns
• Experience with data and analytics technologies such as SQL, Apache Spark, data pipelines and data integration concepts
• Understanding of MLOps and LLMOps practices including model deployment, versioning, monitoring, evaluation and lifecycle management
• Familiarity with API integration, microservices and enterprise application integration patterns
• Exposure to platforms and services such as Databricks, Microsoft Fabric, Snowflake, Azure AI services or equivalent technologies is advantageous
• Experience with data visualization tools such as Power BI, Tableau or equivalent platforms is advantageous

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 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

Preferred Experience

• 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
• 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-solution, 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.