AI Engineering Delivery Manager — Enterprise Solutions

EY; Tallahassee (FL); Remote; USD 139,000 - 255,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Wide range of paid time off options

Job summary

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

You will manage cross-functional teams across AI, data, cloud, and digital engineering programs and translate objectives into actionable roadmaps, governance

Qualifications

• 6+ years of relevant experience in technology consulting, AI engineering, data platforms, or related field.
• Experience managing teams or major workstreams within enterprise-scale AI, data, cloud, or engineering initiatives.
• Working knowledge of generative AI, machine learning, data engineering, MLOps, model deployment, responsible AI, and governance.

Responsibilities

• Manage AI, data, cloud, and digital engineering programs from assessment to adoption.
• Translate client objectives into requirements, target-state designs, and roadmaps.
• Coordinate architects, engineers, data scientists, and stakeholders across delivery lifecycle.
• Manage scope, schedule, budget, risks, and executive reporting.
• Support proposals, estimates, client presentations, and development of reusable assets.
• Coach team members and foster an inclusive, high-performing environment.

Skills

AI engineering

Data platforms

Enterprise architecture

Digital engineering

Project management

Stakeholder management

Communication

Tools

Databricks

Snowflake

Kubernetes

Job description

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

You will manage cross-functional teams across AI, data, cloud, and digital engineering programs and translate objectives into actionable roadmaps, governance