AI Engineering Consultant - Senior Manager - Consulting - Open Location

AI Engineering Consultant – Senior Manager – Consulting Join EY as an AI Engineering Consultant Senior Manager to shape innovative solutions for clients across global markets. Location Anywhere in Country Overview At EY, we bring cutting‑edge AI and data science to solve complex business challenges. As a Senior Manager in AI Native Engineering, you will lead teams to design, build, and deploy scalable AI systems tailored to diverse client needs. Key Responsibilities Own engagement delivery and manage client relationships on a daily basis. Drive program and engagement economics, including budgeting and resource planning. Lead AI and data pipelines, ensuring data quality, model performance, and operational readiness. Architect and implement ModelOps target architectures for scalable AI deployment. Collaborate cross‑functional teams (Data Science, MLOps, Cloud, DevOps) to deliver production AI solutions. Mentor and grow technical teams, fostering a culture of continuous learning and innovation. Identify opportunities for additional services and manage engagement economics. Travel as required to serve client engagements. Qualifications Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Statistics, or related field. 8–10+ years of professional consulting or technology experience, with 3–5+ years managing technical teams. Proficiency in Python, ML frameworks (scikit‑learn, PyTorch, TensorFlow), and cloud ML platforms. Hands‑on experience with Generative AI, LLMs, RAG, and MLOps tooling (MLFlow, Azure DevOps, Git, CI/CD). Strong leadership, project management, and client engagement skills. Excellent analytical, problem‑solving, and communication skills. Willingness to travel for client engagements. Preferred Experience Leading business or IT transformation projects in AI, data science, and cloud. Knowledge of AI ethics, privacy, and regulatory frameworks. Experience with Agile/Scrum delivery and design‑thinking practices. Certifications in AWS, Azure, Databricks, or Snowflake. Exposure to fine‑tuning large language models. Benefits Competitive salary range: $144,000 – $329,100 (US). Comprehensive compensation and benefits package including medical, dental, 401(k), and paid time off. Flexible hybrid work model with 40–60% on‑site requirement. Career development and continuous learning opportunities. Diverse and inclusive culture. Equal Employment Opportunity EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. 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 View email address on click.appcast.io. #J-18808-Ljbffr EY