Frontier AI Assistant Director

EY•Atlanta, DC

1d•$146,700 - $311,700

About The Position

The Frontier AI Assistant Director helps identify, shape, and scale emerging AI opportunities across EY. Working with service lines, sectors, alliances, and innovation teams, the role connects evolving client needs with emerging technologies and leads initiatives from experimentation through capability development. Focus areas may include trusted and open-weight models, AI-native software delivery, enterprise knowledge and context systems, specialized AI, and agentic systems. The role monitors developments in AI, builds internal and external relationships, and identifies and leads initiatives that connect emerging technologies with client challenges and strategic priorities. It involves hands-on experimentation, designing prototypes and proof-of-concepts, assessing opportunities for business value, technical feasibility, enterprise readiness, risk, and adoption potential, and collaborating with multidisciplinary teams to advance new capabilities. The position calls for deep curiosity about AI, broad technical credibility, comfort with ambiguity, strong communication and stakeholder engagement, and the ability to translate technical developments into business recommendations. The successful candidate brings together diverse stakeholders, develops innovation ecosystem relationships, and creates reusable assets, frameworks, accelerators, and playbooks that help innovations scale.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related field.
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 an ongoing practice of learning and exploration.
Experience leading complex technology initiatives involving technical, business, and stakeholder considerations.
Experience evaluating emerging technologies and translating them into business value, technical solutions, or new capabilities.
Deep curiosity about the evolving AI landscape and 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 and credibility to evaluate technologies, challenge assumptions, and engage deeply with technical practitioners.
Ability to learn by doing, rapidly test ideas, and develop first-hand perspectives on new capabilities.
Comfort operating in ambiguity and using experimentation and evidence to inform decisions and recommendations.
Ability to engage effectively with business leaders, client-serving teams, technologists, startups, and alliance partners.
Strong communication, influence, and storytelling skills with technical and non-technical audiences.
Experience bringing diverse stakeholders together to advance ideas from concept to implementation.
Ability to build internal and external innovation ecosystem relationships and create reusable assets that support scaling.

Nice To Haves

Advanced degree preferred.
Preferred backgrounds include technology startups, technical program management, solution engineering, customer engineering, product development, technical consulting, innovation organizations, or related roles.

Responsibilities

Monitor AI developments inside and outside 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 business needs and technology opportunities.
Identify, shape, and lead Frontier AI initiatives connecting emerging technologies with client challenges and strategic priorities.
Experiment with emerging technologies to understand 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 for business value, technical feasibility, enterprise readiness, risk, and adoption potential.
Collaborate with multidisciplinary teams to validate, refine, and advance new capabilities.
Translate technical developments into business implications, strategic recommendations, and actionable next steps.
Bring diverse stakeholders together to advance ideas from concept to implementation.
Build relationships across internal and external innovation ecosystems to accelerate learning and capability development.
Create reusable assets, frameworks, accelerators, and playbooks that enable innovations to scale.