AI Engineering Manager: Enterprise Cloud & Data Leader

EY; San Antonio (TX); Remote; USD 139,000 - 255,000; Full time

Job summary

EY 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 translate objectives into designs, oversee delivery and coach teams, while shaping proposals and accelerators in a globally connected practice. Travel and flexible hours may be required.

Qualifications

• 6+ years of technology consulting and AI engineering experience.
• Experience managing teams or major workstreams within enterprise-scale AI, data, cloud, or engineering initiatives.
• Working knowledge of generative AI, ML, data engineering, MLOps, model deployment, responsible AI, and governance.
• Experience with cloud-native architecture and modern data platforms across Azure, AWS, and/or GCP.
• Experience taking generative AI, RAG, or agentic systems from prototype to production is important.
• Strong project management, analytical, communication, stakeholder-management, and problem-solving skills.
• Experience contributing to proposals, solution development, and client presentations.
• Willingness and ability to travel and work flexible hours based on client and project needs.
• Candidates must be legally authorized to work in the U.S. without the need for employer sponsorship, now and in the future

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

Project management

Analytical skills

Communication

Stakeholder management

Problem solving

Generative AI

Machine learning

Data engineering

MLOps

Model deployment

Responsible AI

Governance

Cloud-native architecture

Azure

AWS

GCP

RAG

Agentic systems

Tools

Databricks

Snowflake

NVIDIA

Kubernetes

Azure

AWS

GCP

Job description

EY 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 translate objectives into designs, oversee delivery and coach teams, while shaping proposals and accelerators in a globally connected practice. Travel and flexible hours may be required.