Job description

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, evaluating, deploying, and maintaining ML models, generative AI systems, agentic workflows, 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 modelling and software engineering best practices. • Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark. • Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions. • Experience with containerization and scaling models. • Willingness to travel to meet client obligations. • Strong knowledge of AI technologies, Responsible AI, evaluation methods, and frameworks • Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders • Demonstrated leadership and project management experience, with the ability to lead multidisciplinary teams and drive successful outcomes • Team player Ideally, you’ll also have: • Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale • Familiarity with regulatory frameworks and standards related to AI ethics, privacy, and data protection • Working experience with Agile and/or Scrum methods of delivery • Working experience with design led thinking • Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain • A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them. • Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field. • Strong skills in languages beyond Python: R, JavaScript, Java, C++, C. • Experience fine-tuning Generative AI models. What we look for: • You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. • You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world. • You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust. What we offer you At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers . • The salary range for this job is: • New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $172,800 to $359,000 • Bay Area California offices – $180,000 to $374,000 • All other offices locations in the US, including Sacramento – $144,000 to $329,100 • Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Are you ready to shape your future with confidence? Apply today. • To make the most of your application experience, please limit yourself to two applications within a six-month period. • EY accepts applications for this position on an on-going basis. • For those living in California, please click here for additional information. • At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. All in to shape the future with confidence. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.  EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

Requirements

Must-haves

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.
Your key responsibilities
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
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)
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.

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Keywords to mirror

gomachine learningaimlazureagilejirapythonci/cdsqlscrumawsjavascriptjava

Platform: successfactors
Effort: medium

Benefits

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Dental

Vision

401(K)

Paid Time Off