Join EY-Parthenon in London - More London Place as an Associate Director, AI Enterprise Architect. In this full-time role, you will provide strategic and technology advisory leadership across AI strategy, transformation, and transaction engagements, advising senior executives on AI target architectures, governance, and scalable production solutions.
Requirements
7+ years of experience in technology strategy, AI advisory, enterprise architecture, solution architecture, or technology consulting.
Master's degree in Computer Science, Engineering, Mathematics, Data Science, or a related analytical discipline.
Hands-on experience designing AI or machine-learning systems that reached and remained in production.
Practical familiarity with Python and AI development approaches.
Experience with cloud-native or hybrid environments (AWS, Azure, or GCP).
Skills & Responsibilities
Enterprise Architecture: Design end-to-end AI target architectures spanning data foundations, models, orchestration, integration, security, and enterprise systems to deliver scalable AI solutions.
Technical Assessment: Assess enterprise AI and technology maturity, evaluating the credibility of data/AI claims and translating findings into executive transformation roadmaps.
Strategic Advisory: Develop board-ready recommendations on AI-enabled growth, unit economics, infrastructure requirements, and build, buy, or partner decisions.
Governance & Compliance: Advise clients on AI governance, security, data residency, responsible AI, and regulatory frameworks including the EU AI Act.
Potential transition routes: People from Principal Solution Architect or AI Practice Lead roles may bring deep technical architecture and stakeholder management skills, alongside meeting the requirement for extensive enterprise transformation experience.
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.
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
Associate Director, AI Enterprise Architect, EY-Parthenon
London
Competitive salary and performance-based rewards
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, Microsoft Azure or Google Cloud Platform
Working knowledge of modern data platforms such as Databricks or Snowflake, and integration with core enterprise systems
A strong understanding of AI unit economics and the difference between a successful demonstration and a system that is affordable, scalable and supportable in production
Familiarity with emerging AI architectures, agentic systems and enterprise AI design patterns
Consulting capability
Strong answer-first communication and the ability to structure complex technical questions under demanding deadlines
The ability to explain an architecture decision, technical risk or investment requirement clearly to a non-technical executive audience
Evidence of constructively influencing senior stakeholders, including where the appropriate recommendation is to stop, redesign or defer an initiative
The confidence to form a defensible view using incomplete information while being clear about assumptions and limitations
Experience operating under compressed transaction or executive decision-making timelines
A collaborative and low-ego working style, with a willingness to operate as an integrated member of a strategy engagement rather than as an external technical authority
The ability to translate technology choices into implications for value, cost, scalability, risk, competitive differentiation and strategic control
To Qualify for the Role, You Must
7+ years spanning technology strategy, AI advisory, enterprise architecture, solution architecture, technology consulting or related disciplines
Have hands-on experience designing AI architectures or machine-learning systems that reached and remained in production
Have experience working at the intersection of business strategy and technology, helping senior executives translate AI opportunities into investment priorities, transformation initiatives and measurable business outcomes
Have demonstrable enterprise architecture experience across cloud-native or hybrid technology environments
Have experience integrating AI and data solutions with enterprise systems such as ERP, CRM, supply-chain, manufacturing or other operational platforms
Practical familiarity with Python and AI development approaches orchestration, agent, retrieval and evaluation approaches
Have experience assessing the scalability, security, reliability, performance and cost of AI systems
Have strong written and verbal communication skills, including experience presenting technical recommendations to senior stakeholders
Be able to work effectively across multidisciplinary teams comprising strategy consultants, engineers, data scientists, commercial specialists and sector experts
Be comfortable delivering high-quality answers under tight and sometimes transaction-driven deadlines
Be able to provide vendor-neutral advice and objectively evaluate competing technologies, platforms and delivery models
A masters degree or equivalent in Computer Science, Engineering, Mathematics, Data Science or related analytical discipline from a reputable university
Ideally, You Will Also
Have experience supporting technology, digital or AI diligence engagements, including the assessment of scalability, risks, capability gaps and value creation opportunities
Have experience evaluating AI-enabled products, software businesses, data assets or technology-led investment theses, translating technical findings into commercial and strategic implications
Bring sector expertise in one or more of the following industries: Media, Retail & Consumer Products, Industrials, Automotive, Technology or Software, with an understanding of the key technology and AI value drivers within those sectors
Have experience advising on responsible AI, AI governance, model risk, AI security, regulatory compliance or technology assurance
Have worked with major enterprise technology platforms, including ERP, CRM, supply chain, manufacturing and data platforms such as SAP, Oracle, Salesforce, Snowflake, Databricks or Palantir, and understand their role in enabling enterprise AI adoption
Have experience developing reusable assessment frameworks, architecture patterns, strategic recommendations or reference assets that accelerate client delivery and capability building
Be an effective coach and mentor, able to develop the technical and commercial confidence of both specialist and non-specialist colleagues
Be a highly collaborative team player with the ability to build trusted relationships across clients, EY-Parthenon and the wider EY organisation, both in the UK and internationally
What We Offer
We offer an attractive remuneration package where you’ll be rewarded for your performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.
Plus, we offer:
Continuous learning: Through continuous training, coaching and mentorship, you’ll develop the mindset and skills needed to accelerate your career and become a transformational leader.
Real exposure: Opportunities to advise senior business leaders and investors on high-priority AI strategy, architecture and transaction questions.
Technical impact: The opportunity to shape architecture standards, reusable assets and the development of EY-Parthenon’s AI capabilities.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
Success as defined by you: We’ll provide the tools and flexibility so you can make a meaningful impact, your way.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The Exceptional EY Experience. It’s Yours To Build.
Apply now.
EY | Building a better working world
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fuelled by sector insights, a globally connected, multidisciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
