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AI Engineering Consultant - Senior Manager - Consulting

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: EY
Full Time position
Listed on 2026-03-10
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Cloud Computing, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineering Consultant - Senior Manager - Consulting - Open Location

Overview

AI Engineering Consultant - Senior Manager - Consulting - Open Location

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Technology – Data and Decision Science – AI Native Engineering – Senior Manager

Join our dynamic team where innovation meets technology! As a leader in artificial intelligence, we are dedicated to pushing the boundaries of what’s possible. Our team thrives on collaboration, creativity, and a commitment to excellence. We are looking for a Senior Manager in AI Native Engineering to join us in transforming data into actionable insights and scalable solutions.

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology to bring solutions to our clients. You’ll sit side-by-side with clients and diverse EY teams to create a well-rounded approach to advising and solving challenging problems. You’ll build knowledge through constant research and development, with opportunities across a wide range of projects now and in the future. A passion for continuous learning, staying ahead of trends, and influencing new ways of working is essential to position solutions in the most relevant and innovative way for our clients.

Expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path aligned with your skills and ambitions.

As a Senior Manager, you will be responsible for researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business requirements across environments including cloud and on-premises.

Your Key Responsibilities

  • Leading engagement delivery and managing client relationships daily.
  • Accountable for program/project management and engagement economics.
  • Developing resource plans and budgets for engagements.
  • Continuously improving processes by identifying innovative solutions through research and analysis.
  • Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
  • Engaging actively with clients, participating in daily working sessions, and leading work streams from planning through execution to closure.
  • Identifying opportunities for additional services and managing engagement economics.
  • Responsibilities (Additional)

  • Enhancing data pipelines and storage to ensure data is clean, accurate, and optimized for XOps processes.
  • Monitoring and optimizing learning processes to continuously improve high-performance models.
  • Collaborating with data and analytics professionals to industrialize analysis into effective actionable analytics solutions.
  • Skills And Attributes For Success

    To excel in this role, you will need a blend of technical expertise, business acumen and strong interpersonal skills. Your ability to build and manage relationships will be crucial in driving client trust and value. This role will work to deliver technology at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds.

    Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

    • Lead teams of AI engineers and data scientists to deliver modern Machine Learning and AI solutions for clients.
    • Stay current on AI technology trends, industry innovations, and regulatory requirements; provide guidance on Model Ops tools and architectures that integrate with client ecosystems.
    • Apply combined business and technical knowledge to design and implement Model Ops target architecture for scalable AI deployment and monitoring.
    • Collaborate effectively with cross-functional roles—Data Scientists, Engineers (Data, Cloud, MLOps, Dev Ops)—to implement and sustain solutions on client…
    Position Requirements
    10+ Years work experience
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