AI/ML Engineering Manager for Client Solutions

EY; Charlotte (NC); Remote; USD 125,000 - 251,000; Full time

Job summary

EY is seeking a Manager in Model Engineering to lead modern AI engineering, machine learning, and generative AI initiatives. You will design and build scalable data-driven solutions across cloud and on-prem environments, guiding teams to deliver high-impact production AI systems with a strong emphasis on responsible deployment and client value.

You will work with diverse, hybrid and global teams, driving integration of data sources, analytics, and software engineering to deliver measurable

Qualifications

• Bachelor’s degree in a technical field and 6–10 years AI/DS/ML experience.
• 2–4 years of direct technical team leadership.
• Strong Python and cloud platform experience.
• Experience with production AI/ML solutions and MLOps.
• Excellent communication and client engagement skills.

Responsibilities

• Lead AI workstreams from design through production deployment and ongoing optimization.
• Continuously improve processes by identifying innovative solutions through research and analysis.
• Manage multidisciplinary teams to deliver complex AI engineering initiatives with accountability for quality and responsible deployment.
• Engage actively with clients, participate in daily working sessions, and lead workstreams from planning through execution to closure.
• Identify opportunities for additional services and manage engagement economics.

Skills

Python

Machine Learning

Generative AI

MLOps

DevOps

GIT

Azure DevOps

SQL

Data Modeling

Communication Skills

Education

Bachelor’s degree

Master’s degree in CS/Math/Quant field

Tools

OpenAI

LangChain

PyTorch

scikit-learn

Pandas

Spark

Git

Azure DevOps

Jira

Job description

EY is seeking a Manager in Model Engineering to lead modern AI engineering, machine learning, and generative AI initiatives. You will design and build scalable data-driven solutions across cloud and on-prem environments, guiding teams to deliver high-impact production AI systems with a strong emphasis on responsible deployment and client value.

You will work with diverse, hybrid and global teams, driving integration of data sources, analytics, and software engineering to deliver measurable