AI Engineering Consultant - Senior Manager - Consulting

AI Engineering Consultant - Senior Manager - Consulting - Open Location

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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 build a better working world.

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.

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

• 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.

In this role, you will manage complex processes and projects while maintaining a focus on quality and risk management. You will lead teams to achieve performance objectives and provide deep insights into best practices for solving complex problems. This position requires regular travel to engage with clients and manage relationships effectively.

• 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.

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 tech at speed, innovate at scale and put humans at the center.

• 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 platforms.
• Understand clients’ data, AI, and technology landscape, along with business priorities and success measures.
• Build and maintain strong client relationships, deliver high‑quality services, and manage large‑scale engagements…