Senior AI Architecture Lead - Enterprise Platforms

Ernst & Young Advisory Services Sdn Bhd; Atlanta (GA); Hybrid; USD 144,000 - 329,000; Full time

Job summary

EY is hiring a Senior Manager - AI Architecture Tech Lead in Atlanta to design and implement enterprise AI architectures across Knowledge, Trust, and Control/Harness blocks. You will balance hands‑on delivery with cross‑functional coordination and drive scalable AI adoption with robust governance and monitoring.

You will lead and mentor teams, integrate monitoring and compliance tools, and stay ahead of AI trends and safety practices to deliver enterprise‑grade AI platforms.

Qualifications

• Bachelor's Degree in a relevant field.
• Masters or PhD preferred for senior roles.
• Strong leadership and cross‑functional communication skills.
• Experience with AI foundation model frameworks and governance tooling.

Responsibilities

• Oversee the design and implementation of AI agentic systems and frameworks based on foundation models, LLM, and SLM.
• Integrate external vendor tools for model monitoring, security, and compliance.
• Collaborate with EY teams to align AI initiatives.
• Serve as a player‑coach, contributing to technical delivery while coordinating firmwide AI adoption.
• Be a true expert across Knowledge, Trust, and Control/Harness AI systems and their applications to customer opportunities and internal horizontal platform development.
• Member of the Enterprise Architecture council guiding initiatives to success.

Skills

Leadership

Cross-functional collaboration

Strategic thinking

Adaptability

Hybrid work

Education

Bachelor's degree

Masters/PhD preferred

Tools

NVIDIA

Microsoft (MSFT)

Crew

Job description

EY is hiring a Senior Manager - AI Architecture Tech Lead in Atlanta to design and implement enterprise AI architectures across Knowledge, Trust, and Control/Harness blocks. You will balance hands‑on delivery with cross‑functional coordination and drive scalable AI adoption with robust governance and monitoring.

You will lead and mentor teams, integrate monitoring and compliance tools, and stay ahead of AI trends and safety practices to deliver enterprise‑grade AI platforms.