Frontier AI Assistant Director: Lead Emerging Tech

EY; Cleveland (OH); Hybrid; USD 147,000 - 274,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking a Frontier AI Assistant Director to identify, shape, and scale AI opportunities across EY, collaborating with service lines, sectors, alliances, and innovation teams. You will connect client needs with emerging technologies and lead initiatives from experimentation to capability development.

The role focuses on trusted/open-weight models, AI-native software delivery, and enterprise knowledge systems. A strong technical background and stakeholder engagement are essential.

Qualifications

• Bachelor's degree required; advanced degree preferred.
• 8+ years in software engineering, AI, or related tech disciplines.
• Experience leading complex technology initiatives with business impact.

Responsibilities

• Identify emerging AI capabilities and market signals relevant to EY clients and strategy.
• Build relationships across service lines, sectors, and ecosystems to address client needs.
• Lead Frontier AI initiatives from concept to capability development and delivery.
• Experiment with emerging technologies to understand capabilities and limitations.
• Design prototypes and proofs-of-concept to validate opportunities and accelerate learning.
• Assess opportunities across value, feasibility, readiness, risk, and adoption.

Skills

AI strategy

Cross-functional leadership

Prototyping and experimentation

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or related field

Job description

EY is seeking a Frontier AI Assistant Director to identify, shape, and scale AI opportunities across EY, collaborating with service lines, sectors, alliances, and innovation teams. You will connect client needs with emerging technologies and lead initiatives from experimentation to capability development.

The role focuses on trusted/open-weight models, AI-native software delivery, and enterprise knowledge systems. A strong technical background and stakeholder engagement are essential.