Physical AI Engineering Consultant - Manager - Consulting - Open Location

About the role

The Artificial Intelligence and Data team at EY helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of this team, you will work closely with clients and diverse teams from EY to create innovative AI solutions.

Responsibilities

• 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.
• Enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes.
• 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.
• Contribute significantly to the delivery of innovative AI solutions.
• Work with a wide variety of clients to deliver the latest data science and big data technologies.
• Design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
• Guide clients through the complexities of modern robotics, digital twin applications, and software engineering.
• 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.

Requirements

• A Bachelor’s degree required (4-year degree) in Business, Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
• Minimum of 5+ years of full-time working experience in Robotics, Digital Twin, and Computer Vision/Deep Learning/Reinforcement Learning.
• Proficiency in programming languages such as Python, C++, or Java, with experience in robotics frameworks (e.g., ROS) and simulation environments.
• Hands-on experience with NVIDIA Omniverse or similar simulation environments for robotics and digital twin applications.
• Understanding of robotic systems, kinematics, dynamics, and control algorithms.
• Familiarity with creating and managing digital twins, including modeling, simulation, and real-time data integration.
• Knowledge of machine learning techniques and algorithms, particularly in the context of robotics and automation.
• Experience using data manipulation and analysis tools (Pandas, NumPy) to derive insights from sensor data and simulations, and experience with popular ML packages such as TensorFlow, PyTorch, or similar libraries.
• Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
• Experience designing, building, and maintaining ML models, frameworks, and pipelines.
• Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.
• Understanding of data structures, data modeling, and software engineering best practices.
• Experience with containerization and scaling models.
• Experience integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.
• Experience with machine learning algorithms and data architecture design.
• Strong understanding of and/or interest in Agentic AI/Generative AI.
• Knowledge of sustainability practices in technology.
• Experience with Continuous Integration and Continuous Delivery/Deployment.
• Experience with testing methodologies, including unit testing, integration testing, and system testing, to ensure the reliability and robustness of physical AI solutions.
• Ability to scale models effectively.
• Strong relationship-building skills.
• Demonstrated client trust and value.
• Effective communication skills with impact.
• Digital fluency and emotional agility.
• Experience in hybrid collaboration.
• Commercial acumen and negotiation skills.
• Proven ability to lead teams and manage change.
• Experience in managing complex projects with multiple stakeholders.
• Strong understanding of industry trends and emerging technologies.
• Experience in data visualization and storytelling with data.
• Knowledge in Natural Language Processing and Generation.
• Skills in Speech and Audio Processing and Analysis.
• Experience with Computer Vision techniques and libraries (e.g., OpenCV) for object detection, tracking, and recognition.
• Experience with designing and implementing control systems for robotic applications, including PID controllers, state-space control, and adaptive control techniques.
• Experience with Hardware-in-the-loop (HIL) testing techniques to validate the performance of robotic systems in real-time by integrating hardware components with simulation models.
• Knowledge of Model-Based Systems Engineering (MBSE) methodologies to support the design, analysis, and verification of complex systems.
• Experience with industry standards and regulations related to robotics and AI, ensuring that solutions meet safety and compliance requirements.

Qualifications

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
• Strong judgment in selecting methods and techniques for obtaining results.
• Experience in managing client relationships and delivering high-quality service.
• Ability to lead teams effectively and manage change within the organization.
• Strong analytical and decision-making skills to guide project direction.
• Experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

Skills and Attributes for Success

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
• Strong judgment in selecting methods and techniques for obtaining results.
• Experience in managing client relationships and delivering high-quality service.
• Ability to lead teams effectively and manage change within the organization.
• Strong analytical and decision-making skills to guide project direction.
• Experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

Pay

The base salary range for this job in all geographic locations in the US is $142,800 to $261,800. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $171,400 to $297,500. Individual salaries within these ranges are determined based on factors including experience, qualifications, and market conditions.

Schedule

This role may require travel to meet client obligations as needed.