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Physical AI Engineering Consultant - Manager - Consulting

Job in Toledo, Lucas County, Ohio, 43614, USA
Listing for: Ernst & Young Oman
Full Time position
Listed on 2026-05-24
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 142800 - 261800 USD Yearly USD 142800.00 261800.00 YEAR
Job Description & How to Apply Below
Position: Physical AI Engineering Consultant - 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.

AI & Data - Physical AI Engineering Consultant – Manager

The opportunity

Our Artificial Intelligence and Data team helps apply cutting‑edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side‑by‑side with clients and diverse teams from EY to create a well‑rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future.

You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on‑premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high‑performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.

Your

key responsibilities

In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will guide clients through the complexities of modern robotics, digital twin applications, and software engineering.

We'll look to you to provide technical leadership and perform development tasks to ensure robust engineering and maintenance of physical AI solutions that meet the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success.

Your responsibilities will include:
  • Leading workstream delivery and ensuring effective management of processes and projects.
  • 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.
  • Researching and implementing scalable AI systems that meet business requirements.
  • Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
  • Monitoring and optimizing learning processes to improve high‑performance models.
  • This position may have travel requirements as needed to engage with external clients regularly.
Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center.…

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