AI Delivery Lead & Solutions Manager

EY; Secaucus (NJ); Remote; USD 139,000 - 255,000; Full time

Job summary

EY seeks 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 decisions, oversee delivery, and contribute to solution development and growth.

You will coordinate cross-disciplinary teams across AI, data, cloud, engineering, and risk, shaping proposals and driving adoption, with a focus on responsible AI and governance.

Qualifications

• 6+ years of relevant experience in technology consulting, AI engineering, data platforms, enterprise architecture, digital engineering, 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.
• Experience with cloud-native architecture and modern data platforms across Azure, AWS, and/or GCP.

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 development of reusable assets and accelerators.
• Coach team members and foster an inclusive, collaborative, high-performing environment.

Skills

AI engineering

Enterprise AI

Cloud architectures

Project management

Stakeholder management

Tools

Azure

AWS

GCP

Job description

EY seeks 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 decisions, oversee delivery, and contribute to solution development and growth.

You will coordinate cross-disciplinary teams across AI, data, cloud, engineering, and risk, shaping proposals and driving adoption, with a focus on responsible AI and governance.