Senior AI Agent Architect: Cloud & AI Solutions Lead

EY; New Orleans (LA); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical & dental coverage

Pension & 401(k)

Paid time off

Flexible vacation policy

Job summary

EY is seeking an Agent Dev Architect in the United States to shape innovative AI agent architectures and collaborate with engineering teams to transform client operations. You will help develop capabilities that leverage AI tools and cloud platforms, delivering tangible business outcomes.

The role requires translating complex requirements into scalable solutions, evaluating technologies, and guiding junior colleagues.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science or Mathematics.
• 0-3+ years of relevant experience (entry to junior level).
• Development experience in AI systems during university or after school.
• Specialized technical skills in technical solutions architecture, requirements analysis, and cloud computing.

Responsibilities

• Translate complex business requirements into scalable solution architectures.
• Evaluate technologies and solutions aligned with client needs.
• Collaborate with engineering teams for successful implementation of target architectures.
• Participate in client sessions with insights and architectural guidance.
• Track deliverables, project status, and budgets for smooth delivery.
• Support sales opportunities and assist in RFP responses.
• Mentor junior colleagues and promote learning and excellence.

Skills

AI architecture

Cloud computing

Data architecture

Client relationships

Analytical thinking

Education

Bachelor's or Master's in Engineering/CS/Math

Tools

AI tools

Cloud platforms

Job description

EY is seeking an Agent Dev Architect in the United States to shape innovative AI agent architectures and collaborate with engineering teams to transform client operations. You will help develop capabilities that leverage AI tools and cloud platforms, delivering tangible business outcomes.

The role requires translating complex requirements into scalable solutions, evaluating technologies, and guiding junior colleagues.