AI Architect Delivery Lead (Senior Manager)

About the role

EY is looking for an experienced AI Architect & Delivery Lead to lead the design and delivery of complex AI and Generative AI solutions for its clients. The role combines AI solution architecture, technology delivery and client leadership, working with senior business and technology stakeholders to turn business needs into scalable AI solutions. At Senior Manager level, you will also shape client solutions, lead large engagements, develop teams and contribute to business development.

Key responsibilities

• Lead the design of enterprise-scale AI, machine learning and Generative AI architectures, including LLM-based applications, RAG, AI agents and intelligent automation.
• Define end-to-end solution architectures covering AI models, data platforms, APIs, applications, cloud infrastructure, integrations, security and operational requirements.
• Evaluate and recommend AI technologies, platforms, models and architectural approaches, and review and challenge designs from architects, engineers, vendors and delivery partners.
• Guide solutions from proof-of-concept through production deployment, embedding responsible AI, security, privacy, data and model governance.
• Lead delivery of large, complex AI and data transformation programmes, managing scope, schedule, resources, risks and quality.
• Translate business objectives into technology roadmaps, coordinate AI/ML engineers, data engineers, cloud specialists, developers and architects, and act as a trusted advisor to senior client stakeholders.
• Support proposals, solution approaches, estimates and presentations, and build reusable architecture patterns and accelerators.
• Coach architects, technical leads and delivery team members, and monitor emerging AI technologies.

Required profile

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering or similar; MBA or another relevant postgraduate degree is advantageous.
• Approximately 10 or more years of relevant technology, architecture, consulting or programme delivery experience, including significant leadership experience.
• Demonstrated experience designing or governing enterprise AI/ML or Generative AI solutions and leading complex, enterprise-scale technology programmes.
• Experience working with senior business and technology stakeholders and leading multidisciplinary technology teams.

Required skills

• Strong understanding of enterprise AI/ML and Generative AI architecture, including LLMs, RAG, AI agents and model integration.
• Strong knowledge of cloud and AI platforms such as Microsoft Azure, AWS or GCP.
• Good understanding of data architecture, APIs, integration patterns, cloud-native architecture, security and enterprise application environments.
• Strong programme delivery, risk management, stakeholder management, communication and consulting skills.

What we offer

• A competitive remuneration package linked to individual and team performance.
• Flexible working arrangements considered.
• Continuous learning, coaching and leadership development.
• A diverse and inclusive culture.