Assistant Manager​/Manager - Tech Consulting - AI Expert

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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 work streams, managing teams, and delivering AI solutions within complex enterprise environments.

• 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

• 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 Tensor Flow, 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…