Associate Director, AI Enterprise Architect, EY-Parthenon

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AI Enterprise Architect – Associate Director   Your Key Responsibilities As an AI Enterprise Architect, you’ll typically be responsible for providing strategic and technology advisory leadership across AI strategy, transformation and transaction engagements, with support from our Directors and Partners This will include:

Advising clients on AI target architectures and evaluating architectural options against business objectives, value creation opportunities, investment constraints and risk considerations Structure ambiguous client problems into hypotheses, analyses and actionable recommendations Designing end-to-end AI target architectures spanning data foundations, models, orchestration, integration, security, enterprise systems and the operating model required to run them Assessing AI, technology and data maturity of enterprises including the credibility of data/AI claims, the durability of application landscape, infrastructure and data to scale AI in a enterprise context and translating findings into executive recommendations, investment priorities and transformation roadmaps Defining AI solutions for targeted use cases or complex AI products that span across value streams that are underpinned by existing enterprise IT & data landscapes, including prioritisation of use cases based on value, feasibility, scalability and strategic relevance Develop board-ready recommendations on AI-enabled growth, productivity and transformation opportunities Developing the technical and economic case for AI, including inference and token costs, infrastructure requirements, cost-to-serve, gross-margin sensitivity and build, buy or partner decisions Advising on AI governance, security, data residency, responsible AI and relevant regulatory requirements, including the EU AI Act and the evolving UK regulatory environment Guiding prototyping teams and using prototypes to test strategic, operational, commercial and technical assumptions Defining architecture standards, reference patterns, assessment frameworks, strategy and assessment frameworks and reusable technical assets for the practice Communicating strategic implications, investment trade-offs, architecture decisions and technical risks clearly to boards, investment committees, executive teams and non-technical stakeholders Supporting proposals, technical workshops and pursuit meetings, acting as a credibility anchor on complex AI questions and leading executive workshops, client problem-solving sessions and strategic discussions Coaching colleagues and building AI architecture capability across EY-Parthenon and the wider EY organisation, including engagement teams comprising strategy consultants and technical specialists

Skills And Attributes for Success Successful candidates will combine deep technical expertise with the ability to operate effectively in a strategy consulting environment They will be intellectually curious, commercially aware and able to form clear judgements under significant time pressure Technical depth

Strong enterprise architecture experience across AI, data, applications, integration, infrastructure, security and operating-model considerations A practical understanding of generative AI, machine learning, foundation models, retrieval architectures, orchestration, agentic patterns and modern data platforms Experience designing AI or machine-learning systems that progressed beyond proof of concept into sustained production use Practical familiarity with Python and AI development approaches sufficient to review technical designs, guide prototyping efforts and challenge technical assumptions Experience with cloud-native and hybrid environments, including at least one of AWS,