AI Engineering & Solutions Manager — Enterprise Delivery

EY; Charleston (WV); Remote; USD 139,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking a Manager in AI Engineering and Solutions to lead client workstreams in AI, data, digital engineering, and cloud-enabled initiatives across Technology sector clients. You will connect business needs with architecture decisions, oversee high-quality delivery, and drive solution development and growth.

You will manage scope, schedule, and budget while guiding teams of architects, engineers, data scientists, and product stakeholders.

Qualifications

• 6+ years of technology consulting or related field experience.
• Experience leading teams or major workstreams in enterprise AI/data/cloud programs.
• Knowledge of generative AI, MLOps, and governance.
• Cloud-native architecture across Azure/AWS/GCP and modern data platforms.

Responsibilities

• Manage AI, data, cloud, and digital engineering programs from design to adoption.
• Translate objectives into requirements, roadmaps, governance, and outcomes.
• Coordinate architects, engineers, data scientists, and stakeholders across delivery.
• Oversee scope, schedule, budget, risks, and reporting to executives.
• Support proposals, estimates, and client presentations; develop reusable assets.
• Coach team members and foster an inclusive, high-performing environment.

Skills

AI engineering

Team leadership

Project management

Generative AI

Cloud platforms

Stakeholder management

Proposals & solutions

Travel flexibility

Authorized to work in US

Tools

Azure

AWS

GCP

Job description

EY is seeking a Manager in AI Engineering and Solutions to lead client workstreams in AI, data, digital engineering, and cloud-enabled initiatives across Technology sector clients. You will connect business needs with architecture decisions, oversee high-quality delivery, and drive solution development and growth.

You will manage scope, schedule, and budget while guiding teams of architects, engineers, data scientists, and product stakeholders.