AI Engineering Manager — Enterprise Tech Consulting

EY; Phoenix (AZ); On-site; USD 139,000 - 278,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Pension and 401(k)

Paid time off

Job summary

EY in the United States is seeking a Manager in AI Engineering and Solutions to lead client workstreams delivering enterprise AI, data, digital engineering, and cloud-enabled solutions for Technology sector clients. You will connect business needs with architecture and engineering decisions, oversee high-quality delivery, and contribute to solution development and business growth.

Responsibilities include coordinating architects, engineers, data scientists, product teams, risk professionals, and

Qualifications

• 6+ years of relevant experience in technology consulting, AI engineering, data platforms, enterprise architecture, digital engineering, or a related field.

Responsibilities

• Manage workstreams within AI, data, cloud, and digital engineering programs from assessment and design through implementation and adoption.
• Translate client objectives into requirements, target-state designs, delivery roadmaps, governance structures, and measurable outcomes.
• Coordinate architects, engineers, data scientists, product teams, risk professionals, and client stakeholders across the delivery lifecycle.
• Manage scope, schedule, budget, risks, dependencies, quality, and executive-ready reporting.
• Support solution shaping, proposals, estimates, client presentations, and the development of reusable assets and accelerators.
• Coach team members and foster an inclusive, collaborative, and high-performing environment.

Skills

Team management

AI engineering

Cloud platforms

Project management

Stakeholder management

Communication

Tools

Azure

AWS

GCP

Job description

EY in the United States is seeking a Manager in AI Engineering and Solutions to lead client workstreams delivering enterprise AI, data, digital engineering, and cloud-enabled solutions for Technology sector clients. You will connect business needs with architecture and engineering decisions, oversee high-quality delivery, and contribute to solution development and business growth.

Responsibilities include coordinating architects, engineers, data scientists, product teams, risk professionals, and