AI Agent Architect — Cloud Solutions Leader

EY; Phoenix (AZ); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY is seeking an Agent Dev Architect to shape innovative AI-enabled solutions for client engagements. You will collaborate with engineering teams, design scalable architectures, and leverage cloud platforms to transform operations.

You will code agents using advanced AI tools and drive real business outcomes for clients and internal teams. The role emphasizes collaboration, continuous learning, and mentorship in a hybrid client-facing environment across the US.

Qualifications

• Bachelor’s or Master’s degree in Engineering, CS or Math.
• 0–3+ years of relevant experience.
• Development experience in AI systems.
• Specialized technical skills in architecture, requirements analysis, and cloud computing.
• Ability to analyze technical feasibility and conduct cost-benefit analysis.

Responsibilities

• Translate complex business requirements into scalable architectures.
• Evaluate technologies and solutions aligned with client goals.
• Collaborate with engineering teams for implementation of target architectures.
• Join client sessions, contributing insights daily.
• Track deliverables, status, resources and budgets.
• Support sales opportunities and assist RFP responses.
• Maintain engagement economics reports and assist planning.
• Mentor junior colleagues and foster learning.

Skills

AI solutions architecture

Cloud computing

Data architecture modeling

Analytical thinking

Client relationship building

Emerging technologies

Education

Bachelor’s or Master’s degree in Engineering/CS/Math

Tools

AI tools & platforms

Job description

EY is seeking an Agent Dev Architect to shape innovative AI-enabled solutions for client engagements. You will collaborate with engineering teams, design scalable architectures, and leverage cloud platforms to transform operations.

You will code agents using advanced AI tools and drive real business outcomes for clients and internal teams. The role emphasizes collaboration, continuous learning, and mentorship in a hybrid client-facing environment across the US.