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EY UK

Frontier AI Assistant Director

Location:  Manchester - St Peters Square
Location flexibility:  1 office day / week, 2 office days / week
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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.

About the Next Frontier:

Applied Innovation's Next Frontier focuses on emerging technologies, including Physical AI, Quantum Computing, and Frontier AI, amongst others such as Cyber Frontier. This initiative translates advanced capabilities into measurable outcomes, helping clients and EY teams unlock new opportunities through technology-driven capabilities.

The opportunity:

Frontier AI bridges emerging AI capabilities and evolving client needs. We identify high-potential innovations in the market and connect experts across EY and the ecosystem; where breakthroughs meet customer needs, we incubate, validate and deliver new scalable capabilities to the firm and its clients. We are builders, strategists, and innovators focused on turning rapidly evolving AI technologies into trusted business outcomes through evidence, collaboration, and responsible innovation.

The Frontier AI Assistant Director helps identify, shape, and scale emerging AI opportunities across EY. Working closely with service lines, sectors, alliances, and innovation teams, this role connects evolving client needs with emerging technologies and leads initiatives from experimentation through capability development. Areas of focus may include trusted and open-weight models, AI-native software delivery, enterprise knowledge and context systems, specialized AI, and agentic systems.

Your key responsibilities

  • Monitor developments across AI, both externally and across EY, to identify emerging capabilities, market signals, and opportunities relevant to clients and firm strategy.
  • Build relationships across service lines, sectors, alliances, regions, and external ecosystems to understand evolving business needs and technology opportunities.
  • Identify, shape, and lead Frontier AI initiatives that connect emerging technologies with client challenges and strategic priorities.
  • Continuously experiment with emerging technologies to develop first-hand understanding of their capabilities, limitations, and potential applications.
  • Design and build experiments, prototypes, and proof-of-concepts to validate opportunities, evaluate technologies, and accelerate learning.
  • Assess opportunities across business value, technical feasibility, enterprise readiness, risk, and adoption potential.
  • Collaborate with multidisciplinary teams to validate, refine, and advance new capabilities.

Skills and attributes for success:

  • Deep curiosity about the evolving AI landscape and a demonstrated ability to identify meaningful developments before they become mainstream.
  • Ability to connect emerging technologies with client needs, business opportunities, and strategic priorities.
  • Broad technical foundation with the credibility to evaluate technologies, challenge assumptions, and engage deeply with technical practitioners.
  • Actively builds, prototypes, and experiments with emerging technologies as part of an ongoing hands-on practice.
  • Learns through doing, rapidly testing ideas and developing first-hand perspectives on new capabilities.
  • Comfortable operating in ambiguity, using experimentation and evidence to inform decisions and recommendations.
  • Ability to engage effectively with business leaders, client-serving teams, technologists, startups, and alliance partners to identify opportunities and shape initiatives.
  • Translates technical developments into business implications, strategic recommendations, and actionable next steps.
  • Strong communication, influence, and storytelling skills across technical and non-technical audiences.
  • Experience bringing together diverse stakeholders to advance new ideas from concept to implementation.
  • Builds relationships across internal and external innovation ecosystems to accelerate learning and capability development.
  • Creates reusable assets, frameworks, accelerators, and playbooks that enable successful innovations to scale.

What we look for:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related field. Advanced degree preferred.
  • 8+ years of experience in software engineering, AI, machine learning, product development, solution architecture, technical consulting, technical program management, innovation, or related technology disciplines.
  • Demonstrated history of hands-on experimentation, prototyping, or building with emerging technologies as part of an ongoing practice of learning and exploration.
  • Experience leading complex technology initiatives that span technical, business, and stakeholder considerations.
  • Experience evaluating emerging technologies and translating them into business value, technical solutions, or new capabilities.
  • Preferred backgrounds include technology startups, technical program management, solution engineering, customer engineering, product development, technical consulting, innovation organizations, or related roles.

Note: This job description is intended as a guide to reflect the principal functions of the job. However, it is not an all-inclusive listing of the required job functions and functions may vary depending on the geographic location of the job and/or the manager. Further, the job description is subject to change at the discretion of management.

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence? Apply today.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

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.

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Working at EY UK

1 office day / week 2 office days / week

A little flex time

Company benefits

27 days annual leave + bank holidays
Adoption leave
Annual bonus
Buddy scheme
Buy or sell annual leave
Car allowance
Career and family coaching
Carer’s leave – Special Leave (4 weeks paid)
Charity donation scheme
Coaching
Collaboration spaces
Critical Illness Insurance
Cycle to work scheme
Dental coverage
Discretionary sick pay
Electric Car Salary Sacrifice
Employee discounts
Employee recognition scheme
Enhanced maternity leave
Enhanced paternity leave
Enhanced pension match/contribution
Eye Care Support – (free eyesight testing)
Financial advice
Health assessment
Health insurance
In house training
Income protection
Joining bonus
L&D budget
Learning platform
Life assurance
Lunch and learns
Menopause support
Mental health pathway
Mentoring
Modern office
Personal development days
Physiotherapy
Private booths
Professional subscriptions
Referral bonus
Shared parental leave
Special leave
Sports teams
Study support
Studying sabbaticals
Surrogacy leave
Wellbeing allowance – £500
Wellbeing incentive programme
Paid safe leave

Awards & Accreditations

2nd - Most Inclusive Company

2nd - Most Inclusive Company

Flexa awards 2026
Best Career Progression

Top 10 - Best Career Progression

Flexa awards 2026
Apply

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Company employees:

400000

Gender diversity (m:f):

52:48

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