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.

EY delivers unparalleled cross functional tech consulting services in artificial intelligence, machine learning, generative AI, agentic AI, and cloud engineering. We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. 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. Come help define the future of AI.

The opportunity

EY is significantly investing in their award-winning AI, Data & Engineering practice. You will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. 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 help our clients navigate the complex world of modern data science, analytics, and software engineering. We’ll look to you to provide consulting services to ensure AI solutions are properly engineered and maintained to support the ongoing business needs of our clients.

This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. We are looking for leaders who connect AI strategy to the engineering, deployment, and scaling of AI and Machine Learning Operations capabilities

Your Key Responsibilities

As an AI Senior Manager, 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.

You will be leading a team working with a wide variety of clients to shape, engineer, operationalize, and scale their AI strategy at scale.

Skills And Attributes For Success

This role will work to deliver tech 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.

Translating AI strategy into a scalable Model Engineering roadmap that aligns with the client’s goals, mission and vision
Leading teams of AI engineers and data scientists in delivery of production-grade machine learning, generative AI, and agentic AI solutions for clients
Staying abreast of AI technology trends and provide directional guidance and recommendations around MLOps, LLMOps, and AgentOps tools and solutions that fit their needs and integrate with their existing ecosystem
Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale
Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps, LLMOps, and platform engineers, DevOps to implement and sustain solutions in the client’s platform of choice
Staying abreast of industry trends, technology innovations and AI regulatory requirements across the globe
Understanding clients’ overall data, AI and technology landscape and business priorities and success measures
Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)
Working on large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget
Collaborating, influencing and building consensus through constructive relationships and effective listening
Solving problems by incorporating data into decision making

To qualify for the role, you must have

Bachelor’s degree, or MS degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
Minimum of 8-10+ years of professional consulting experience in business or technology consulting or similar roles
Minimum of 3-5+ years of experience directly managing technical teams and/or consulting teams
Experience using and managing the deployment of foundation models, generative AI, and agentic AI frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML 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.
A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
Experience with MLOps, LLMOps, and AgentOps methods and platforms such as MLFlow.
Strong skills in Python.
Experience with CI/CD and test-driven development.
Experience designing, building, eval