AI Engineering Consultant - Senior Manager - Consulting - Open Location

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.

Technology – Data and Decision Science – AI Native Engineering – Senior Manager Join our dynamic team where innovation meets technology! As a leader in the field of artificial intelligence, we are dedicated to pushing the boundaries of what’s possible. Our team thrives on collaboration, creativity, and a commitment to excellence.

We are looking for a Senior Manager in AI Native Engineering to join us in transforming data into actionable insights and scalable solutions. The opportunity 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.

Responsibilities 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.

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 workstreams from planning through execution to closure.

Identifying opportunities for additional services and managing engagement economics. Skills and Attributes for Success 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 centre. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgemental and/or specialised issues surrounding emerging technology.

Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. Qualifications 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 Generative AI models and frameworks (e.g., OpenAI family, open source LLMs, DALL‑E, LlamaIndex, LangChain, Retrieval Augmented Generation).

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 methods and platforms such as MLFlow. Strong skills in Python. Experience with CI/CD and test‑driven development.

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 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 containerisation and scaling models.

Willingness to travel to meet client obligations. Strong knowledge of AI technologies 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. Ideal Additional Experience 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 in 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. Strong leadership skills with experience managing teams.

A proven track record in client engagement and relationship management. Experience in managing change and driving innovation. What We Offer You We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.

The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those 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. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence?

Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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. 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 [email protected]. #J-18808-Ljbffr