Physical AI Engineering Consultant - Manager - Consulting - Open Location

Physical AI Engineering Consultant – Manager The opportunity Our Artificial Intelligence and Data team helps apply cutting‑edge technology and techniques to deliver solutions to our clients. In this role you will sit side‑by‑side with clients and cross‑functional EY teams, creating a comprehensive approach to advising and solving challenging problems—many of which have not yet been solved. You will research, build, and implement scalable AI systems that learn and make predictions tailored to business requirements across cloud and on‑premises environments. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for operating processes. 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 look to you to provide technical leadership and perform development tasks to ensure robust engineering and maintenance of physical AI solutions that meet ongoing business needs. 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 think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. 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 workstreams 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. Travel may be required to engage with external clients regularly. 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. Proven experience in project management and tracking deliverable completion. Extensive experience using DevOps tools like GIT, Azure DevOps, and Agile tools such as Jira. Understanding of machine learning workflows, MLOps platforms such as MLFlow, and CI/CD practices. Ability to build and maintain relationships with clients and team members. Excellent communication skills to convey complex ideas effectively. Willingness to travel and strong relationship‑building skills. To qualify for the role, you must have A bachelor’s degree in Business, Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning. 5+ years of full‑time 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. Deep understanding of robotic systems, kinematics, dynamics, control algorithms, and sensor integration. Experience designing, building, and maintaining ML models, frameworks, and pipelines, and deploying end‑to‑end ML workflows on at least one major cloud platform. Strong mathematical, statistical, and quantitative skills including calculus, linear algebra, and statistics. Solid understanding of data structures, data modelling, and software engineering best practices. Ideally, you’ll also have Experience in managing complex projects with multiple stakeholders. Advanced degree in Robotics, Computer Science, Mechanical/Aerospace Engineering, Electrical Engineering, or other quantitative field. Experience with computer vision techniques and libraries (e.g., OpenCV) for object detection, tracking, and recognition. Knowledge of Model‑Based Systems Engineering (MBSE) methodologies and industry standards related to robotics and AI. Proficiency in unit, integration, and system testing methodologies. Interest in emerging AI technologies such as Agentic AI/Generative AI. What we offer you A comprehensive compensation and benefits package, including competitive salary, medical and dental coverage, pension and 401(k) plans, and paid time off. A hybrid work model with flexible collaboration and a balanced expectation for in‑person engagement. Generous vacation time and leave options for your personal and family well‑being. We are an equal opportunity employer and welcome applicants regardless of race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, protected veteran status, disability status, or other legally protected basis. We provide reasonable accommodations for qualified individuals with disabilities. #J-18808-Ljbffr Ernst & Young Advisory Services Sdn Bhd